My Courses
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AI-Powered Image-to-JSON Conversion for LLM Fine-Tuning Using ‘Outlines’
Generate structured JSON datasets from images using Outlines, a Python library crafted for robust and accurate Large Language Model (LLM) interactions.
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How Caching Helps Improve the LLM Inference?
Large Language Models (LLMs) have transformed various fields, from virtual assistants to real-time translation and personalized content creation. These models rely on a computationally intensive process called inference, where they predict the next token or word based on previous input. While powerful, the high resource demands of LLMs can hinder their practical deployment, especially in…
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Fine-Tuning LLMs for Domain-Specific Tasks using Unsloth
Discover how to fine-tune language models using Unsloth with this hands-on guide, designed to help you create efficient, domain-specific AI solutions.
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A Hands-On Guide to Streamlining LLM Testing Process with DeepEval
Streamline your LLM testing process with DeepEval framework. Discover built-in metrics, Pytest-like testing, and create practical test cases for robust model evaluation.
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Colpali: Hands-On Guide to PDF Analysis with Qwen2VL
This guide explores PDF analysis using Colpali and Qwen2VL, highlighting step-by-step methods to extract insights with vision-language models.
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UpTrain: A Hands-On Guide to LLM Evaluation
UpTrain is an open-source platform that simplifies LLM evaluation with customizable metrics, performance tracking, and seamless integration for reliable AI solutions.
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AgentQL: A Hands-On Guide to AI powered Web Data Extraction
AgentQL simplifies web scraping with natural language queries, making it accessible and efficient. Explore its architecture, hands-on setup, and Playground testing.
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Building Smarter Customer Support with Mem0 and Qdrant: A Practical Guide
Experience human-like customer support that remembers you. Build an AI tool with Mem0 and Qdrant for context-aware, personalized solutions—all using free tools.
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AdalFlow: A Hands-On Guide to Building and Optimizing LLM Task Pipelines
AdalFlow is a lightweight framework for LLM development, offering flexible and optimized tools to easily build and customize NLP pipelines for diverse applications.
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Literal AI in Practice: A Comprehensive Guide To RAG Observability
LLM systems gain powerful monitoring and optimisation capabilities through Literal AI’s comprehensive observability and evaluation toolkit.
