For LLMs the closed API-only models are for the most part still so far ahead of the openly licensed alternatives that I'm sticking with them despite this Embedding models are different though: plenty of high quality models offer both an API and open weights I can run myself
OPEN SOURCE
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API Model Reliability and Self-Hosted AI Systems Concerns
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Given how hard it is to iterate on, evaluate and build dependable systems on top of these models the idea that a model you've tuned an application for can have its API turned off at any moment is pretty nerve-wracking So I lean towards API models I can run myself if necessary
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Open Weights Model Reaches High Arena Ranking Despite License Constraints
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Nice to see an open weights model showing up this high on the Arena leaderboard Worth noting that Command R is licensed Creative Commons Non-Commercial, so it's great for research but not a dependable backup against API shutdown for commercial purposes
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Critical XZ vulnerability exposes open source security testing risks
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This is the commit: https://
git.tukaani.org/?p=xz.git;a=co
mmit;h=cf44e4b7f5dfdbf8c78aef377c10f71e274f63c0
… Can't wait for the "tests are dangerous" crowd 😉 -
Open-source LLMs Transform Coding Practices with Clean Copyright
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First I'd like to point out that there are permissively-sourced LLMs for coding, and there's nothing technical stopping all of them from having a clean Copyright chain of title. With that said, LLMs have fundamentally changed the way I code…
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Agent Lumos: Unified Framework for Training Open-Source LLM Agents
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7). Agent Lumos – a unified framework for training open-source LLM-based agents; it consists of a modular architecture with a planning module that can learn subgoal generation and a module trained to translate them to action with tool usage.
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DBRX: New 132B Open-Source LLM Outperforms Benchmarks
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1). DBRX – a new 132B parameter open LLM that outperforms all the established open-source models on common benchmarks like MMLU and GSM8K; DBRX was pretrained on 12T tokens (text and code) and uses a mixture-of-experts (MoE) architecture.
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Jamba Overview Highlights Novel Features for Developers
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This Jamba overview is a great way to quickly understand the novel features Jamba brings to the dev community. Thanks @AiFlux
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Practical Machine Learning with Python Guide
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Practical Machine Learning with Python! #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Practical-M-L-
Python
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Keras with PyTorch matches vanilla PyTorch performance when compiled
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That's because Keras + torch is not compiled by default whereas the native torch models are compiled. Keras+torch has the same performance as vanilla torch.