Posts tagged with: LLMs
Content related to LLMs
Reverse Engineering Claude Code: A Technical Guide
Discover how to reverse engineer the complex code behind Claude Code using advanced LLM techniques. This comprehensive guide breaks down the process, from monkey patching API requests to utilizing a custom log visualization tool. Learn the methodologies behind understanding Claude Code's core workflows, context compaction, IDE integration, and short-term memory management. Whether you're a developer looking to understand AI agent architecture or a researcher exploring LLM applications, this article provides a deep dive into the practical steps and insights gained from dissecting a 4.6MB minified JavaScript file. Explore the analysis results and understand the prompts and tool designs that power this cutting-edge technology.
AI Engineering Hub: Master LLMs, RAGs, and AI Agents
Dive into the AI Engineering Hub, a comprehensive GitHub repository offering in-depth tutorials and real-world applications for Large Language Models (LLMs), Retrieval Augmented Generation (RAGs), and AI agents. Whether you're a beginner or an experienced practitioner, this hub provides invaluable resources to implement, adapt, and scale AI projects. Explore practical examples, contribute to a thriving community, and stay ahead in the rapidly advancing field of AI engineering. From multimodal RAGs to agentic workflows, discover code and insights to enhance your AI development skills.
LLM Token Calculator: Your Guide to Text Metrics & Pricing
Calculate tokens, words, and characters for OpenAI, Anthropic, & Google LLMs! Get pricing info too. Estimate costs & optimize prompts with this essential tool.
The 9-Line Secret to AI Programming Superpowers: How a Simple LLM Agent Loop Revolutionizes Development
Unleash your coding superpowers! Discover how a 9-line Python loop transforms LLMs into an AI Programming Assistant, seamlessly handling Git, refactoring, and debugging with simple tool calls.
ReaderLM-v2: The Next Evolution in HTML-to-Text Conversion
Announcing ReaderLM-v2! Jina AI's 1.5B model transforms HTML to Markdown/JSON with superior accuracy, 512K context, and 29-language support. Get better content extraction, multilingual parsing, and enhanced stability for all your web data needs.
Magentic: Seamless LLM Integration for Python Developers
**Magentic**: Integrate LLMs into Python code with ease! Create functions that return structured output, combine LLM queries with traditional Python, and build complex agentic systems.
LiteLLM: Unifying the LLM Galaxy for Seamless Development
LiteLLM: Your unified gateway for 100+ LLMs! Simplify interactions, manage costs, and ensure reliability with a consistent OpenAI-like API. Features include streaming, async calls, router for fallbacks, and a proxy for rate limiting/budgeting.
Orchestrating AI: An Introduction to the OpenAI Agents SDK
Orchestrate intelligent multi-agent workflows with the OpenAI Agents SDK! Build sophisticated AI applications, connect to 100+ LLMs, and leverage features like handoffs, guardrails, and tracing. Get started with our Python framework today!