Yeah, this is the worst it will ever be. Probably at least 2x better by end of year at this rate
GENERATIVE AI
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RAG and Prompt Engineering: Preferred Over Fine-Tuning
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If you’re still wondering when to apply either RAG vs fine-tuning, we have a simple answer – always try RAG + prompt engineering first! Fine-tuning only makes sense when you have a domain specific task and doesn’t always result in performant solutions. Additionally, it takes a
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Jensen Huang: AI Makes Everyone a Programmer
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Makes me think about what Jensen Huang said a couple weeks ago.
— Rowan Cheung (@rowancheung) 12 mars 2024
"Everybody in the world is now a programmer"https://t.co/x0Jhqc2v6uMakes me think about what Jensen Huang said a couple weeks ago. "Everybody in the world is now a programmer"
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AI Agents and Prompt Engineering Transform Developer Productivity
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If devs using AI are already working 4x faster, I wonder what happens when they start deploying AI software engineers alongside them.
— Rowan Cheung (@rowancheung) 12 mars 2024
Feels like everyone will be a 10x dev if you know how to prompt LLMs/Agents.
And the 10x devs now will be 100x devs pic.twitter.com/vqctjWEPKsIf devs using AI are already working 4x faster, I wonder what happens when they start deploying AI software engineers alongside them. Feels like everyone will be a 10x dev if you know how to prompt LLMs/Agents. And the 10x devs now will be 100x devs
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Devin: Cognition AI’s Autonomous Coding Agent Resolves Issues
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So, Cognition AI just introduced Devin, the most capable autonomous coding agent I've seen.
— Rowan Cheung (@rowancheung) 12 mars 2024
Instead of just autocompleting tasks, it can write entire apps on its own in minutes.
It also correctly resolves 13.86% of issues, autonomously. pic.twitter.com/7EWncjRQmdSo, Cognition AI just introduced Devin, the most capable autonomous coding agent I've seen. Instead of just autocompleting tasks, it can write entire apps on its own in minutes. It also correctly resolves 13.86% of issues, autonomously.
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Meta’s 24k H100 Cluster Pods Infrastructure for Llama3
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Here's details on Meta's 24k H100 Cluster Pods that we use for Llama3 training.
* Network: two versions RoCEv2 or Infiniband. * Llama3 trains on RoCEv2
* Storage: NFS/FUSE based on Tectonic/Hammerspace
* Stock PyTorch: no real modifications that aren't upstreamed
* NCCL with -
HRI Conference Workshop on Embodied Voices and TTS Models
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Audience question on character voices and TTS needs @HRI_Conference – Consider our newly accepted RSS Workshop on Embodied Voices on July 15! Bringing the latest deep TTS models together with roboticists https://
rosielab.github.io/wev/ #hri2024 -
Claude Animations Tutorial Guide for The Rundown
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We need a tutorial on Claude animations for The Rundown
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Domino AI Gateway: Secure LLM Access and Risk Management
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Accelerate #GenerativeAI with Domino AI Gateway! Secure access to LLMs like ChatGPT & Claude, manage risks, and control costs. Discover how to create effective guardrails for your AI projects. Dive in: https://
domino.buzz/3vaMEJM #AIgovernance #TechInnovation -
Hugging Face Diffusers: Guide to Image Generation Techniques
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✨ Blog-tastic Tuesdays ✨https://t.co/AYSMGFv4yg
— Satya Mallick (@LearnOpenCV) 12 mars 2024
Our latest research article will guide you through using the Hugging Face Diffusers library to generate images with different techniques. Additionally, you will get access to a notebook with all the experiments discussed in this… pic.twitter.com/2mylHQHeBiBlog-tastic Tuesdays https://
learnopencv.com/hugging-face-d
iffusers/
… Our latest research article will guide you through using the Hugging Face Diffusers library to generate images with different techniques. Additionally, you will get access to a notebook with all the experiments discussed in this