My Courses
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How to Integrate LangChain and Hugging Face for Open-Source LLM Deployment?
Discover how the langchain-huggingface package enhances NLP by integrating Hugging Face models with LangChain’s framework.
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Analysing Generative AI Embeddings with Azure AI Hub: A Hands-on Guide
Explore and implement various embedding models in Azure AI Hub to enhance contextual search and query responses.
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A Hands-on Guide to Enhance RAG with Re-Ranking
Learn how re-ranking in Retrieval-Augmented Generation boosts relevance, enhancing summarization and question answering accuracy.
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Building Knowledge Graphs to Enhance Data-Driven Decision-Making
Knowledge graphs, built using graph databases, capture data relationships for efficient modelling and reasoning. This article explores their importance in enhancing data-driven decision-making.
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LangChain Vs LlamaIndex for Advanced Query Retrieval
LangChain’s “MultiQuery Retriever” and LlamaIndex’s “Multi-Step Query Engine” enhance advanced query retrieval by ensuring precise, context-aware responses.
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Creating Neural Network Architecture Drawings with NN-SVG
NN-SVG is a powerful tool for creating parametric Neural Network architecture drawings, allowing easy export to SVG files for academic papers and web use.
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Convert Images of Equations into LaTeX Code Using Python
Convert images of equations into LaTeX code effortlessly with the pix2tex Python library, streamlining the documentation process for researchers and students.
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OpenAI’s New Guide on Prompt Engineering: Six Strategies for Better Results
OpenAI’s new Prompt Engineering guide outlines six strategies to improve large language model results, from writing clear instructions to testing changes systematically.
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Speeding Up LLM Inference with Microsoft’s LLMLingua
Microsoft’s LLMLingua reduces LLM inference costs and boosts performance by up to 20x with minimal performance loss using prompt compression.
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Accelerate Your Pandas Workflows with NVIDIA’s cuDF in Google Colab
NVIDIA’s cuDF integration in Google Colab accelerates Pandas workflows by up to 50x with zero code changes, revolutionizing data analysis.
