Seeing it fix it's own errors was amazing!
AGENTS
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Mastering Copilot: Hidden Tricks for Effective AI Assistance
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How much time have you spent trying to figure out how to put it to use? Copilot is weird in that it's actually quite hard to get it to work effectively – there are all sorts of undocumented tricks you have to figure out, like writing comments that say what you want to do next
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Maestro Wins Anthropic Developer Contest with Agentic Framework
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Excited to share that Maestro, my agentic framework for Claude Opus to intelligently orchestrate subagents, is one of the winners of the official @AnthropicAI Developer contest. The best part? Opus wrote the code. I just told it what I wanted.
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CrewAI Multi-Agent Systems: Building Productive Agentic Workflows
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I've really enjoyed using @crewAIInc 's tools to build multiagent AI systems — in addition to being productive, it's also fun to use! It was great hanging out with its creator @joaomdmoura to chat about best practices for building agentic workflows.
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LangGraph: Language Models Solve Olympiad Programming Benchmark
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LangGraph: Can Language Models Solve Olympiad Programming? Last week, Princeton researchers released the USACO benchmark dataset and showed that a zero-shot GPT-4 agent only passes 8.7% of the questions. We've implemented this paper in LangGraph and created a tutorial
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Self-Play Training Could Overcome Human Data Limits for LLMs
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Why this matters: human written data & human reinforcement may set the upper bounds on what LLMs can do. AlphaGo was able to beat humans because it trained by playing against itself. This suggests that LLMs may be able to do similar self-play, offering a path to rapid improvement
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Screen-less devices unsuitable for shopping use cases
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The reason I don't order stuff on Alexa is exactly the same as why I wouldn't order it on the Rabbit R1. Shopping is a terrible use case for products with no screen imo.
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GPTs Are Weak Form of Agents, Says OpenAI
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GPTs are the weak form of agents. OpenAI has been pretty explicit about that.
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Code Interpreters: The Bicycle of LLM Mind with LangChain
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We're really excited about code interpreters. They're the bicycle of the (LLM) mind Come see how to use @e2b_dev's code interpreter with LangChain and bounce ideas with other builders!