LLMs-Tutorials-Projects

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LLMs-Tutorials-Projects

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Fine-tuning, evaluation, prompting, open-source models

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# LLMs-Tutorials-Projects
List of Language Model LLMs Projects with Full Implementation codes

▶ Implementing a MiniMax-H3 Multimodal Video and Audio Generation Pipeline with ComfyUI APIs [Codes](https://github.com/MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials/blob/main/LLM%20Projects/MiniMax_H3_Advanced_Multimodal_Video_Audio_Generation_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/08/10/implementing-a-minimax-h3-multimodal-video-and-audio-generation-pipeline-with-comfyui-apis/)

▶ Building a Multimodal RAG Pipeline with NVIDIA NeMo Retriever, Hosted NIMs, LanceDB, Reranking, and Grounded Generation [Codes](https://github.com/MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials/blob/main/LLM%20Projects/nvidia_nemo_retriever_advanced_multimodal_rag_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/08/07/building-a-multimodal-rag-pipeline-with-nvidia-nemo-retriever-hosted-nims-lancedb-reranking-and-grounded-generation/)

▶ Training Gemma-3 for Structured Mathematical Reasoning with Tunix GRPO, LoRA Adapters, and GSM8K Rewards [Codes](https://github.com/MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials/blob/main/LLM%20Projects/tunix_grpo_gemma3_gsm8k_reasoning_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/07/05/training-gemma-3-for-structured-mathematical-reasoning-with-tunix-grpo-lora-adapters-and-gsm8k-rewards/)

▶ GLM-5.2 OpenAI-Compatible API: A Hands-On Guide to Reasoning Effort, Function Calling, and Long-Context Retrieval [Codes](https://github.com/MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials/blob/main/LLM%20Projects/glm_5_2_api_workflow_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/06/22/glm-5-2-openai-compatible-api-a-hands-on-guide-to-reasoning-effort-function-calling-and-long-context-retrieval/)

▶ Salesforce CodeGen Tutorial: Generate, Validate, and Rerank Python Functions With Unit Tests and Safety Checks [Codes](https://github.com/MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials/blob/main/LLM%20Projects/salesforce_codegen_tutorial_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/06/18/salesforce-codegen-tutorial-generate-validate-and-rerank-python-functions-with-unit-tests-and-safety-checks/)

▶ A Coding Implementation on Microsoft SkillOpt for Instrumented Prompt Optimization, Skill Evolution Analysis, and Baseline Comparison [Codes](https://github.com/MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials/blob/main/LLM%20Evaluation/microsoft_skillopt_prompt_optimization_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/06/10/a-coding-implementation-on-microsoft-skillopt-for-instrumented-prompt-optimization-skill-evolution-analysis-and-baseline-comparison/)

▶ Building Reflective Prompt Optimization with GEPA: Multi-Component Prompts, Structured Feedback, and Held-Out Validation [Codes](https://github.com/MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials/blob/main/LLM%20Evaluation/gepa_reflective_prompt_evolution_feedback_validation_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/06/07/building-reflective-prompt-optimization-with-gepa-multi-component-prompts-structured-feedback-and-held-out-validation/)

▶ How to Fine-Tune LFM2 Using QLoRA and DPO: A Complete Step-by-Step Coding Tutorial on Google Colab [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/LLM%20Projects/liquid_ai_lfm2_qlora_sft_dpo_finetuning_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/06/02/how-to-fine-tune-lfm2-using-qlora-and-dpo-a-complete-step-by-step-coding-tutorial-on-google-colab/)

▶ Build a Complete Langfuse Observability and Evaluation Pipeline for Tracing, Prompt Management, Scoring, and Experiments [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/LLM%20Evaluation/Langfuse_Observability_Evaluation_Tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/05/24/build-a-complete-langfuse-observability-and-evaluation-pipeline-for-tracing-prompt-management-scoring-and-experiments/) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/LLM%20Evaluation/Langfuse_Observability_Evaluation_Tutorial_Marktechpost.ipynb)

▶ A Coding Implementation to Compress and Benchmark Instruction-Tuned LLMs with FP8, GPTQ, and SmoothQuant Quantization using llmcompressor [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/LLM%20Projects/llm_compressor_quantization_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/05/17/a-coding-implementation-to-compress-and-benchmark-instruction-tuned-llms-with-fp8-gptq-and-smoothquant-quantization-using-llmcompressor/)

▶ How to Build Knowledge Graph Generation Pipelines From Text With kg-gen, NetworkX Analytics, and Interactive Visualizations [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/AI%20Agents%20Codes/kg_gen_knowledge_graph_generation_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/05/20/how-to-build-knowledge-graph-generation-pipelines-from-text-with-kg-gen-networkx-analytics-and-interactive-visualizations/)

▶ A Coding Implementation to Explore and Analyze the TaskTrove Dataset with Streaming Parsing Visualization and Verifier Detection [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/LLM%20Projects/tasktrove_exploration_pipeline_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/05/03/a-coding-implementation-to-explore-and-analyze-the-tasktrove-dataset-with-streaming-parsing-visualization-and-verifier-detection/)

▶ A Coding Guide on LLM Post Training with TRL from Supervised Fine Tuning to DPO and GRPO Reasoning [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/LLM%20Projects/trl_llm_post_training_sft_dpo_grpo_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/05/01/a-coding-guide-on-llm-post-training-with-trl-from-supervised-fine-tuning-to-dpo-and-grpo-reasoning/)

▶ How to Build Traceable and Evaluated LLM Workflows Using Promptflow, Prompty, and OpenAI [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/LLM%20Projects/promptflow_traceable_llm_workflow_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/04/28/how-to-build-traceable-and-evaluated-llm-workflows-using-promptflow-prompty-and-openai/)

▶ How to Build a Fully Searchable AI Knowledge Base with OpenKB, OpenRouter, and Llama [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/LLM%20Projects/openkb_openrouter_llama_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/04/26/how-to-build-a-fully-searchable-ai-knowledge-base-with-openkb-openrouter-and-llama/)

▶ A Coding Implementation on kvcached for Elastic KV Cache Memory, Bursty LLM Serving, and Multi-Model GPU Sharing [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/LLM%20Projects/kvcached_vllm_elastic_kv_cache_tutorial_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/04/25/a-coding-implementation-on-kvcached-for-elastic-kv-cache-memory-bursty-llm-serving-and-multi-model-gpu-sharing/)

▶ A Coding Implementation on Qwen 3.6-35B-A3B Covering Multimodal Inference, Thinking Control, Tool Calling, MoE Routing, RAG, and Session Persistence [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/LLM%20Projects/qwen36_35b_a3b_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/04/21/a-coding-implementation-on-qwen-3-6-35b-a3b-covering-multimodal-inference-thinking-control-tool-calling-moe-routing-rag-and-session-persistence/)

▶ A Coding Implementation on Microsoft’s Phi-4-Mini for Quantized Inference Reasoning Tool Use RAG and LoRA Fine-Tuning [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/LLM%20Projects/phi_4_mini_workflow_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/04/20/a-coding-implementation-on-microsofts-phi-4-mini-for-quantized-inference-reasoning-tool-use-rag-and-lora-fine-tuning/)

▶ A Coding Tutorial for Running PrismML Bonsai 1-Bit LLM on CUDA with GGUF, Benchmarking, Chat, JSON, and RAG [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/LLM%20Projects/bonsai_1bit_llm_advanced_colab_cuda_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/04/18/a-coding-tutorial-for-running-prismml-bonsai-1-bit-llm-on-cuda-with-gguf-benchmarking-chat-json-and-rag/)

▶ A Coding Guide for Property-Based Testing Using Hypothesis with Stateful, Differential, and Metamorphic Test Design [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/LLM%20Evaluation/hypothesis_property_based_testing_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/04/18/a-coding-guide-for-property-based-testing-using-hypothesis-with-stateful-differential-and-metamorphic-test-design/)

▶ A End-to-End Coding Guide to Running OpenAI GPT-OSS Open-Weight Models with Advanced Inference Workflows [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/LLM%20Projects/gpt_oss_open_weight_advanced_inference_tutorial_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/04/17/a-end-to-end-coding-guide-to-running-openai-gpt-oss-open-weight-models-with-advanced-inference-workflows/)

▶ A Coding Implementation of Crawl4AI for Web Crawling, Markdown Generation, JavaScript Execution, and LLM-Based Structured Extraction [Codes](https://github.com/Marktechpost/AI-Agents-Projects-Tutorials/blob/main/LLM%20Projects/crawl4ai_web_crawling_extraction_deepcrawl_llm.ipynb) [Tutorial](https://www.marktechpost.com/2026/04/14/a-coding-implementation-of-crawl4ai-for-web-crawling-markdown-generation-javascript-execution-and-llm-based-structured-extraction/)

▶ A Coding Guide to Build Advanced Document Intelligence Pipelines with Google LangExtract, OpenAI Models, Structured Extraction, and Interactive Visualization [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/LLM%20Projects/langextract_document_intelligence_pipeline_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/04/08/a-coding-guide-to-build-advanced-document-intelligence-pipelines-with-google-langextract-openai-models-structured-extraction-and-interactive-visualization/)

▶ How to Deploy Open WebUI with Secure OpenAI API Integration, Public Tunneling, and Browser-Based Chat Access [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/LLM%20Projects/open_webui_google_colab_secure_openai_tunnel_setup_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/04/07/how-to-deploy-open-webui-with-secure-openai-api-integration-public-tunneling-and-browser-based-chat-access/)

▶ An Implementation Guide to Running NVIDIA Transformer Engine with Mixed Precision, FP8 Checks, Benchmarking, and Fallback Execution [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/ML%20Project%20Codes/nvidia_transformer_engine_colab_mixed_precision_fp8_benchmarking_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/04/06/an-implementation-guide-to-running-nvidia-transformer-engine-with-mixed-precision-fp8-checks-benchmarking-and-fallback-execution/)

▶ A Coding Implementation to Run Qwen3.5 Reasoning Models Distilled with Claude-Style Thinking Using GGUF and 4-Bit Quantization [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/LLM%20Projects/qwen3_5_reasoning_colab_dual_path_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/03/26/a-coding-implementation-to-run-qwen3-5-reasoning-models-distilled-with-claude-style-thinking-using-gguf-and-4-bit-quantization/)

▶ A Coding Implementation to Build an Uncertainty-Aware LLM System with Confidence Estimation, Self-Evaluation, and Automatic Web Research [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/LLM%20Projects/uncertainty_aware_llm_confidence_self_evaluation_auto_research_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/03/21/a-coding-implementation-to-build-an-uncertainty-aware-llm-system-with-confidence-estimation-self-evaluation-and-automatic-web-research/)

▶ How to Build a Stable and Efficient QLoRA Fine-Tuning Pipeline Using Unsloth for Large Language Models [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/LLM%20Projects/unsloth_qlora_stable_sft_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/03/03/how-to-build-a-stable-and-efficient-qlora-fine-tuning-pipeline-using-unsloth-for-large-language-models/)

▶ A Coding Guide to Instrumenting, Tracing, and Evaluating LLM Applications Using TruLens and OpenAI Models [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/LLM%20Evaluation/trulens_llm_instrumentation_feedback_evaluation_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/02/22/a-coding-guide-to-instrumenting-tracing-and-evaluating-llm-applications-using-trulens-and-openai-models/)

▶ How to Align Large Language Models with Human Preferences Using Direct Preference Optimization, QLoRA, and Ultra-Feedback [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/LLM%20Projects/dpo_alignment_qlora_ultrafeedback_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/02/12/how-to-align-large-language-models-with-human-preferences-using-direct-preference-optimization-qlora-and-ultra-feedback/)

▶ How to Build a Matryoshka-Optimized Sentence Embedding Model for Ultra-Fast Retrieval with 64-Dimension Truncation [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/LLM%20Projects/matryoshka_representation_learning_sentencetransformers_msmarco_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/02/11/how-to-build-a-matryoshka-optimized-sentence-embedding-model-for-ultra-fast-retrieval-with-64-dimension-truncation/)

▶ A Coding Implementation to Establish Rigorous Prompt Versioning and Regression Testing Workflows for Large Language Models using MLflow [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/MLFlow%20for%20LLM%20Evaluation/Prompt_Versioning_and_Regression_Testing_for_LLMs_with_MLflow_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/02/08/a-coding-implementation-to-establish-rigorous-prompt-versioning-and-regression-testing-workflows-for-large-language-models-using-mlflow/)

▶ A Coding Implementation to Automating LLM Quality Assurance with DeepEval, Custom Retrievers, and LLM-as-a-Judge Metrics [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/LLM%20Evaluation/rag_deepeval_quality_benchmarking_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/01/25/a-coding-implementation-to-automating-llm-quality-assurance-with-deepeval-custom-retrievers-and-llm-as-a-judge-metrics/)

▶ How to Implement Functional Components of Transformer and Mini-GPT Model from Scratch Using Tinygrad to Understand Deep Learning Internals [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/LLM%20Projects/tinygrad_transformer_minigpt_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/25/how-to-implement-functional-components-of-transformer-and-mini-gpt-model-from-scratch-using-tinygrad-to-understand-deep-learning-internals/)

▶ An Implementation of Fully Traced and Evaluated Local LLM Pipeline Using Opik for Transparent, Measurable, and Reproducible AI Workflows [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/LLM%20Projects/opik_local_llm_tracing_and_evaluation_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/11/21/an-implementation-of-fully-traced-and-evaluated-local-llm-pipeline-using-opik-for-transparent-measurable-and-reproducible-ai-workflows/)

▶ A Coding Implementation to Build a Transformer-Based Regression Language Model to Predict Continuous Values from Text [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/ML%20Project%20Codes/regression_language_model_transformer_rlm_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/04/a-coding-implementation-to-build-a-transformer-based-regression-language-model-to-predict-continuous-values-from-text/)

▶ An Implementation on Building Advanced Multi-Endpoint Machine Learning APIs with LitServe: Batching, Streaming, Caching, and Local Inference [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/ML%20Project%20Codes/advanced_litserve_multi_endpoint_api_tutorial_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/10/24/an-implementation-on-building-advanced-multi-endpoint-machine-learning-apis-with-litserve-batching-streaming-caching-and-local-inference/)

▶ Ivy Framework Agnostic Machine Learning Build, Transpile, and Benchmark Across All Major Backends [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/ML%20Project%20Codes/Advanced_Ivy_Framework_Agnostic_ML_Tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/13/ivy-framework-agnostic-machine-learning-build-transpile-and-benchmark-across-all-major-backends/)

▶ A Coding Guide to Master Self-Supervised Learning with Lightly AI for Efficient Data Curation and Active Learning [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/ML%20Project%20Codes/lightly_ai_self_supervised_active_learning_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/11/a-coding-guide-to-master-self-supervised-learning-with-lightly-ai-for-efficient-data-curation-and-active-learning/)

▶ Building and Optimizing Intelligent Machine Learning Pipelines with TPOT for Complete Automation and Performance Enhancement [Notebook](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/ML%20Project%20Codes/tpot_advanced_pipeline_optimization_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/08/29/building-and-optimizing-intelligent-machine-learning-pipelines-with-tpot-for-complete-automation-and-performance-enhancement/)

▶ A Coding Implementation to Build a Complete Self-Hosted LLM Workflow with Ollama, REST API, and Gradio Chat Interface [Notebook](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/self_hosted_llm_ollama_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/19/a-coding-implementation-to-build-a-complete-self-hosted-llm-workflow-with-ollama-rest-api-and-gradio-chat-interface/)

▶ How to Test an OpenAI Model Against Single-Turn Adversarial Attacks Using deepteam [Notebook](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Adversarial%20Attacks/Single-Turn%20Attacks.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/17/how-to-test-an-openai-model-against-single-turn-adversarial-attacks-using-deepteam/)

▶ Using RouteLLM to Optimize LLM Usage [Notebook](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/GPT-5/RouteLLM.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/10/using-routellm-to-optimize-llm-usage/)

▶ Tutorial: Exploring SHAP-IQ Visualizations[Notebook](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/SHAP-IQ/SHAP_IQ_Visuals.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/03/tutorial-exploring-shap-iq-visualizations/)

▶ Building an End-to-End Object Tracking and Analytics System with Roboflow Supervision [Notebook](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/roboflow_supervision_advanced_tracking_analytics_pipeline_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/03/building-an-end-to-end-object-tracking-and-analytics-system-with-roboflow-supervision/)

▶ Getting Started with Microsoft’s Presidio: A Step-by-Step Guide to Detecting and Anonymizing Personally Identifiable Information PII in Text [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Presidio.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/24/getting-started-with-microsofts-presidio-a-step-by-step-guide-to-detecting-and-anonymizing-personally-identifiable-information-pii-in-text/)

▶ Build a Groundedness Verification Tool Using Upstage API and LangChain [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Upstage_Groundedness_Check_Tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/24/build-a-groundedness-verification-tool-using-upstage-api-and-langchain/)

▶ A Coding Guide to Build a Production-Ready Asynchronous Python SDK with Rate Limiting, In-Memory Caching, and Authentication [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/advanced_async_python_sdk_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/23/a-coding-guide-to-build-a-production-ready-asynchronous-python-sdk-with-rate-limiting-in-memory-caching-and-authentication/)

▶ Building High-Performance Financial Analytics Pipelines with Polars: Lazy Evaluation, Advanced Expressions, and SQL Integration [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/polars_sql_analytics_pipeline_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/17/building-high-performance-financial-analytics-pipelines-with-polars-lazy-evaluation-advanced-expressions-and-sql-integration/)

▶ Building AI-Powered Applications Using the Plan → Files → Code Workflow in TinyDev [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/tinydev_gemini_implementation_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/14/building-ai-powered-applications-using-the-plan-%e2%86%92-files-%e2%86%92-code-workflow-in-tinydev/)

▶ A Comprehensive Coding Tutorial for Advanced SerpAPI Integration with Google Gemini-1.5-Flash for Advanced Analytics [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/advanced_serpapi_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/06/a-comprehensive-coding-tutorial-for-advanced-serpapi-integration-with-google-gemini-1-5-flash-for-advanced-analytics/)

▶ Build a Secure AI Code Execution Workflow Using Daytona SDK [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/daytona_secure_ai_code_execution_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/12/build-a-secure-ai-code-execution-workflow-using-daytona-sdk/)

▶ A Coding Guide Implementing ScrapeGraph and Gemini AI for an Automated, Scalable, Insight-Driven Competitive Intelligence and Market Analysis Workflow  [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Competitive_Analysis_with_ScrapeGraph_Gemini_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/02/a-coding-guide-implementing-scrapegraph-and-gemini-ai-for-an-automated-scalable-insight-driven-competitive-intelligence-and-market-analysis-workflow/)

▶ A Coding Implementation to Build an Interactive Transcript and PDF Analysis with Lyzr Chatbot Framework [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Lyzr_Chatbot_Framework_Implementation_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/05/27/a-coding-implementation-to-build-an-interactive-transcript-and-pdf-analysis-with-lyzr-chatbot-framework/)

▶ Step-by-Step Guide to Creating Synthetic Data Using the Synthetic Data Vault (SDV)  [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/AutoGen_TeamTool_RoundRobin_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/05/25/step-by-step-guide-to-creating-synthetic-data-using-the-synthetic-data-vault-sdv/)

▶ Creating a Knowledge Graph Using an LLM  [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/tree/main/Mirascope) [Tutorial](https://www.marktechpost.com/2025/07/28/creating-a-knowledge-graph-using-an-llm/)

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