Nearly every call with this uses Haiku by default 🙂
@mattshumer_
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Multi-Agent AI Report Generation System with Claude
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How it works, in a nutshell:
– User provides a topic
– Claude breaks it into sub-topics
– An agent with access to Google builds a report for each sub-topic
– A final Claude instance takes in all of the sub-topic reports, and generates a final, comprehensive report -
Claude Researcher: Constrained Agent for Detailed Report Generation
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`claude-researcher` is a constrained agent — meaning its behavior is highly-controlled, leading to better results than open-ended agents. It chains together lots of Claude 3 calls (and Google access) that work together to create a detailed report on a topic of your choice.
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Claude-researcher: Open-source AI research agent powered by Claude 3
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Introducing `claude-researcher` 📈
— Matt Shumer (@mattshumer_) 5 avril 2024
A powerful Claude 3 research agent that delivers thorough reports in record time.
Just provide an topic, and a chain of AIs with **access to Google** will generate an incredibly comprehensive report for you.
And it's open-source! pic.twitter.com/v3xTwP0wOLIntroducing `claude-researcher` A powerful Claude 3 research agent that delivers thorough reports in record time. Just provide an topic, and a chain of AIs with **access to Google** will generate an incredibly comprehensive report for you. And it's open-source!
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Anthropic Team Releases AI Demo with Alex Albert
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The Anthropic team came through. Demo incoming. Shoutout to @alexalbert__ 🙂
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Claude 3 Demo Delayed Due to Rate Limiting Issues
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Today's Claude 3 demo might be delayed… for some reason I'm getting constant rate limits. @zswitten @alexalbert__ @AnthropicAI
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Developer open-sources token-intensive Claude API project
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Going to open-source the most token-intensive project I've ever built tomorrow If enough people try it, it'll probably double the use of the Claude 3 API within a day 🙂
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How OpenAI Fine-Tunes LLMs Into Assistant Models
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My best slightly educated guess: – LLMs (base models) don’t naturally speak this way. We know this. They’re effectively a mirror of the internet, and therefore write very differently from this.
– When OpenAI started fine-tuning their LLMs into Assistant models, they likely had a -
AI Voice Quality Needs Improvement for Natural Sound
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Yeah — really smart. Just wish they sounded more natural…
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Command R+ Achieves Better Token Efficiency Than GPT Models
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Interesting finding from the Command R+ blog post. For many languages, Command R+ will use far fewer tokens than GPT models to represent the same text. This effectively reduces overall costs significantly.