Making it so animators have to write code in order to publish their work online is such a huge miss
TOOLS
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Major Data and AI Event: GenAI and Engineering Conference June 10-13
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POV: you would do anything to get into the biggest data and #AI event of the year.
— Databricks (@databricks) 19 avril 2024
Register to hear from leading experts, researchers, and open source contributors about topics like #GenAI and data engineering and streaming.
Join us June 10-13: https://t.co/Rl8WajxnNn pic.twitter.com/x2fNrVOgAJPOV: you would do anything to get into the biggest data and #AI event of the year. Register to hear from leading experts, researchers, and open source contributors about topics like #GenAI and data engineering and streaming. Join us June 10-13: https://
bit.ly/3UlaDA7 -
Fine-tuning GPT-3.5: Use Cases and Community Experiences
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Using https://
platform.openai.com/docs/guides/fi
ne-tuning
… ? What have you used that for – I've not heard many examples of people fine-tuning 3.5 -
torch.compile uses Triton kernels under the hood for optimization
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So if you're using torch.compile you're already using a lot of triton under the hood, afaik PyTorch picks and chooses whether to call cuda kernels or triton for different ops / settings. Triton is really awesome, but of course you're staying in the Python / torch universe. Which
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Llama 3 API Search Capabilities vs Perplexity Sonar
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I've not see a Llama 3 API with built in search capacity yet – @perplexity_ai have sonar-medium-online but I think that's Mixtral 8x7B? They might upgrade to a Llama 3 online model soon though
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Managing Python Dependencies Across Multiple Development Environments
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does anyone else have a requirements.txt that you just keep adding to every time you run into a package you need and carry it over to literally every single env you work in
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Free GPT-4 and Llama 3 alternatives to ChatGPT
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There really is no reason anyone should be using free ChatGPT-3.5 anymore. Not only can you still get GPT-4 access for free through Microsoft Copilot (in creative mode), but if you want a GPT-3.5 class model, Llama 3 is much better & free (for now), here: https://
meta.ai -
Open Models Drive Rapid AI Capability Improvements and Speed
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Because anyone can work with them, open models are likely to improve very quickly, creating a lot of capabilities focused on factors ranging from speed to costs.
— Ethan Mollick (@emollick) 19 avril 2024
Here is the new Llama 3 70B being served by Groq (with a q) at 224 tokens/second. This is real-time of me using it. pic.twitter.com/L6i6T6OBbWBecause anyone can work with them, open models are likely to improve very quickly, creating a lot of capabilities focused on factors ranging from speed to costs. Here is the new Llama 3 70B being served by Groq (with a q) at 224 tokens/second. This is real-time of me using it.
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LangChain Weekly Release: Evaluations, Tool Calling, Monitoring
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LangChain Release Notes, week of 4/15 Evaluations video series Standardized tool calling in LangChain Production monitoring and automations in LangSmith New RAG From Scratch videos
Community created content! Read it all here: https://
blog.langchain.dev/week-of-4-15-l
angchain-release-notes/
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Fine-tuning vs RAG: When to Use Each Approach
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That's not the same as believing that fine tuning can't teach a model new knowledge under any circumstances – but in practice many people I see who think they need to fine tune a model would be better off using RAG instead