Portkey AI Gateway allows application developers to easily integrate generative AI models, seamlessly switch among models, and add features like conditional routing without changing application code.
Yelp reviewed various large language models (LLMs) for correctness, relevance, and tone to enhance its AI assistant, improving user experience and engagement.
Claude Code is an agentic coding tool by Anthropic that operates in your terminal, understanding and modifying your codebase through natural language commands. It streamlines development workflows by executing commands, fixing bugs, and managing Git operations without requiring additional servers or complex setup.
A look at everything going on in the world of Replit, including the revamped mobile app, free checkpoints for Agent/Assistant, and the trend of 'vibe coding'.
This article introduces the pyramid search approach using Agentic Knowledge Distillation to address the limitations of traditional RAG strategies in document ingestion.
The pyramid structure allows for multi-level retrieval, including atomic insights, concepts, abstracts, and recollections. This structure mimics a knowledge graph but uses natural language, making it more efficient for LLMs to interact with.
Knowledge Distillation Process:
- Conversion to Markdown: Documents are converted to Markdown for better token efficiency and processing.
- Atomic Insights Extraction: Each page is processed using a two-page sliding window to generate a list of insights in simple sentences.
- Concept Distillation: Higher-level concepts are identified from the insights to reduce noise and preserve essential information.
- Abstract Creation: An LLM writes a comprehensive abstract for each document, capturing dense information efficiently.
- Recollections/Memories: Critical information useful across all tasks is stored at the top of the pyramid.
The attention mechanism in Large Language Models (LLMs) helps derive the meaning of a word from its context. This involves encoding words as multi-dimensional vectors, calculating query and key vectors, and using attention weights to adjust the embedding based on contextual relevance.
A terminal-based platform to experiment with the AI Software Engineer. It allows users to specify software in natural language, watch as an AI writes and executes the code, and implement improvements. Supports various models and customization options.
LangChain was once a promising framework for building AI applications powered by Large Language Models (LLMs). However, developers are now quitting LangChain due to issues like unnecessary complexity, unstable updates, and inconsistent documentation. The article explores the reasons behind this trend and offers insights into alternative solutions.
Explains how LLMs can use tools through 'execution rounds,' providing examples and guidance on model selection.
Google's John Mueller discusses the issue of low-effort content that may look good but lacks genuine expertise, particularly noting the use of AI-generated images as a potential signal of low-quality content.
