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SOFTWARE
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BabyAGI Microservice Architecture with Auto-logging Skills
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Finally in clean up mode on the newest BabyAGI after having some time to code this past weekend.
— Yohei (@yoheinakajima) 25 juin 2024
Current status:
– Microservice based skill architecture
– Auto logging of skill usage (as graph)
– Various skills to read and write code & logs
– UI seeing raw logs and testing… pic.twitter.com/sT1JabgcmFFinally in clean up mode on the newest BabyAGI after having some time to code this past weekend. Current status:
– Microservice based skill architecture
– Auto logging of skill usage (as graph)
– Various skills to read and write code & logs
– UI seeing raw logs and testing -
Compilation Performance Trade-offs in Modern Code Development
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While making compilation slower and code more complex for 99% of users?
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MathWorks Accelerates Engineering and Science Innovation Worldwide
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MathWorks is dedicated to accelerating the pace of engineering and science worldwide. Learn more about what we do https://
spr.ly/6014ggsBa -
Codestral Revolutionizes Software Development with Multilingual Programming Support
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Codestral is revolutionizing software development with its dual proficiency in English and over 80 programming languages, including Python, Java, C, C++, JavaScript, and Bash. By efficiently completing coding functions, Codestral significantly reduces the time and effort needed
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App Design-as-Service Tool for Mission-Critical Workflows
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Before building a house, you get a blueprint to align everyone and ensure smooth progress, right?
— Pascal Bornet (@pascal_bornet) 25 juin 2024
Why not do the same for application development with an ‘app design-as-a-service’ tool that reimagines mission-critical workflows ❓
I had an insightful discussion with Kerim… pic.twitter.com/NhZR6aBySbBefore building a house, you get a blueprint to align everyone and ensure smooth progress, right? Why not do the same for application development with an ‘app design-as-a-service’ tool that reimagines mission-critical workflows I had an insightful discussion with Kerim
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llm.c Memory Efficiency Advantages Over PyTorch
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If you match the parameters you're actually under-estimating the improvement, because llm.c takes up a lot less space so you can crank up the batch size. I haven't fully dug into why PyTorch takes up that much space, slightly worried I'm doing something wrong but not sure what
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Apple’s GenAI Strategy: Small Models and LoRA Adapters at Scale
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ICYMI: @Apple recently published their playbook for deploying #GenAI at scale across iOS devices. What's their secret? Small language models (#SLM) + lots of fine-tuned #LoRA adapters. Want to can replicate their approach? Check out our blog: https://
pbase.ai/3KXrIdO -
MLX Framework as Optimized Alternative to PyTorch MPS
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I'd have a look at MLX, cc @awnihannun , from some recent chatter I understand it is a lot more optimized that PyTorch mps atm. This would need a re-write of the build-nanogpt code into mlx, but possibly it's not that involved. I'd be happy to accept a PR for mlx clone.
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Running Llama-3 8B with 16GB RAM Using Quantization
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Just an FYI — you can run Llama-3 8B with 16GB of RAM. And there are even quantized versions which lets you run it on even less memory.