Sakana AI's "The AI Scientist," a system automating the entire scientific discovery process, including peer review.
Learn to efficiently find content similar to queries using vector embeddings and LangChain. Understand embeddings, implement LangChain models.
Become a prompt engineering specialist in just 6 weeks following our learning path that includes study material and practice problems.
Learn about the different types of distance measures used in data science - vector distance, similarity and dissimilarity measures, and more.
Claude 3.5 Sonnet by Anthropic: AI model excels in reasoning, coding, and vision tasks, setting new standards.
Python Polars: High-performance DataFrame library in Rust, offering optimized queries, lazy execution & efficient large dataset management.
Fine-tuning LLMs using Mistral AI enhances task alignment, efficiency, & information integration, outperforming traditional methods.
Learn to build robust LLM applications using LlamaIndex. This guide covers token counting, data ingestion, querying, and persistent storage.
Discover how fine-tuning and Retrieval-Augmented Generation (RAG) enhance LLMs for precise, contextually relevant text generation
Enhancing RAG with Retrieval Augmented Fine-tuning by integrating data, preparing datasets, and importance of Semantic Splitter Node Parser.
