#DBRX is a general-purpose LLM that outperforms established open source models on standard benchmarks! We’ve open-sourced it. DBRX is incredibly efficient thanks to its fine-grained MoE architecture & offers the flexibility orgs need for custom #genAI.
OPEN SOURCE
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Fixing Multiprocessing Hangs in Large-Scale Model Inference
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yeah the multiprocessing in this method isn't properly handled and hangs if you scale to millions of sentences. i (and others) have struggled with it a lot. you can just wrap your model in DataParallel and do a regular inference loop, no need for explicit multiprocessing
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Best MLOps Repository for Learning Machine Learning Foundations
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3. Made with ML Best Repository to Learn MLOps. Also help you learn the foundations of machine learning through intuitive explanations, clean code and visualizations.
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Awesome Machine Learning: Curated Frameworks and Libraries Repository
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1. Awesome Machine Learning A repository with a curated list of awesome machine learning frameworks, libraries and software:
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5 Essential GitHub Repositories for Data Scientists and ML Engineers
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5 GitHub repositories you should definitely check as a Data Scientist/Machine Learning Engineer:
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Secure Open Source Clients for Web Browsing and Messaging
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Secure opensource clients for web browsing, messaging etc. do exist?
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Building ToolLLM With LangGraph.js: API Integration
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New YouTube Video: Building ToolLLM With LangGraph.js Inspired by the ToolLLM paper by @TsingYoga
, which introduces an innovative approach to utilizing a vast array of APIs to address user queries. The key lies in their hierarchical API retriever, which quickly -
Dataverse: High-Quality Data Filtering for LLM Training
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Looking for high-quality data for your LLM training? Try https://
github.com/UpstageAI/data
verse
…. It filters out low-quality data and generates quality text from large inputs. #solarllm is powered by Dataverse! -
Open Source Relicensing Strategy: Cloud Vendor Sponsorship Tactics
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I wonder of there's a weird strategy move here where you relicense your project, wait for the cloud vendors to sponsor an alternative, then revert back to the original license and merge efforts with the now-financially-supported effort Gain project sponsorship through subterfuge
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Core Algorithm Tiny, Substantial Scaffolding Required Around It
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Yeah, the core algorithm will be tiny, but there will be a decent chunk of scaffolding around it. For the people that bring up the bulk of PyTorch/cuda/drivers around it, which are millions of lines of code — the path actually used will just be… a few tens of thousands of lines