Interesting thread that mirrors how we see agents being built: 1. Break complicated task into a highly controllable domain specific workflow (LangGraph) 2. Test each component thoroughly (LangSmith)
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Generalized Additive Models for Meta-Regression using brms
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Generalized Additive Models (GAMs) for Meta-Regression using brms – Matthew B. Jané https://
bit.ly/4gH6OhH
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Free Webinar: Building AI Engineer and AI Brain
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FREE WEBINAR – BUILDING AN AI ENGINEER AND AI BRAIN
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ML Experts Discuss Speculative Decoding for Fast Token Generation
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🎥 Watch as two of our #ML experts discuss the nuances of #GenAI with @v_mohan_.
— SambaNova (@SambaNovaAI) 6 octobre 2024
In this episode, they talk about speculative decoding and its role in being able to achieve fast token generation. ⚡️
Accelerate your #dev journey ⤵️Watch as two of our #ML experts discuss the nuances of #GenAI with @v_mohan_
. In this episode, they talk about speculative decoding and its role in being able to achieve fast token generation. Accelerate your #dev journey -
Bolt.new Platform Issues Reported by Users
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@stackblitz Some issues on http://
bolt.new Is this expected? Thank you. -
Priompt: JSX-based prompt design tool for AI development
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GitHub – anysphere/priompt: Prompt design using JSX. https://
bit.ly/3XRekha
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Live coding Minority Report AI on Twitch, test event, children donations
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We code a Minority Report AI live on Twitch and test it in the event. Donate generously to help children. Twitch: defendintelligence
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ChatGPT Canvas Fixes Code in Real-Time
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Watching `#ChatGPT Canvas` fix your code in real-time is quite something pic.twitter.com/KkkPvVUwCn
— Charly Wargnier (@DataChaz) 6 octobre 2024Watching `#ChatGPT Canvas` fix your code in real-time is quite something
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Xcode AI Assistance: Debugging and Error Correction with Screenshots
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I've been dumping everything into Xcode and just asking it to create the edits in chunks that I can drop in manually, but it's harder to debug if it can't see everything. It seems to accept screenshots of the Xcode errors and produce corrected segments well.
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Using AI and screenshots to debug Xcode errors manually
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I've been dumping everything into Xcode and just asking it to create the edits in chunks that I can drop in manually, but it's harder to debug if it can't see everything. It seems to accept screenshots of the Xcode errors and produce corrected segments well.