Mistral 7B is out. It outperforms Llama 2 13B on every benchmark we tried. It is also superior to LLaMA 1 34B in code, math, and reasoning, and is released under the Apache 2.0 licence. https://
mistral.ai/news/announcin
g-mistral-7b/
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LLMS
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Mistral 7B Released: Outperforms Llama 2 13B on All Benchmarks
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Groq Introduces Purpose-Built AI Inference Solutions at Scale
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We wanted to properly introduce @GroqInc to all of our new followers!
We offer purpose-built inference solutions for real-time #AI at scale. Our hardware & software ecosystem includes the world's first Language Processing Unit™ system for AI, Groq™ Compiler, and more -
Mistral AI Releases First Model, Best Open Source 7B
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At @MistralAI we're releasing our very first model, the best 7B in town (outperforming Llama 13B on all metrics, and good at code), Apache 2.0. We believe in open models and we'll push them to the frontier https://
mistral.ai/news/about-mis
tral-ai/
… Very proud of the team ! -
VideoDirectorGPT: LLM-Guided Multi-Scene Video Generation
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DirectorGPT: Consistent Multi-scene Generation via LLM-Guided Planning Lin et al.: https://
arxiv.org/abs/2309.15091 #ArtificialIntelligence #DeepLearning #MachineLearning -
Cloudflare Launches Workers AI for Accessible Developer Inference
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What's going on here?
Cloudflare is launching Workers AI to make AI inference easy and accessible for all developers. What does this mean? Workers AI allows developers to run popular AI models with just a few lines of code, without needing to manage infrastructure. It is -
Mistral 7B v0.1 Model Release Available for Download
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magnet:?xt=urn:btih:208b101a0f51514ecf285885a8b0f6fb1a1e4d7d&dn=mistral-7B-v0.1&tr=udp%
http://
2Ftracker.opentrackr.org1337announce&tr=https%https://t.co/HAadNvH1t0443announce RELEASE ab979f50d7d406ab8d0b07d09806c72c -
Acceldata acquisition strengthens AI LLM observability capabilities
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Acceldata makes acquisition to improve AI, #LLM #observability https://
techtarget.com/searchdatamana
gement/news/366553305/Acceldata-makes-acquisition-to-improve-AI-LLM-observability
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Top Barriers to Deploying LLMs in Production Environments
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What's stopping you from putting #LLMs into production? According to our survey the following are top issues: Sharing data w/ commercial vendors Complexities of fine-tuning Rising training costs Check out the full report for more details: https://
pbase.ai/48u5w5k. -
SFT Model Fine-tuning: Addressing Novel Edge Cases with Prompting
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you do, and the need often pops back up e.g. you might prompt an SFT model with instructions for a novel edge case only until you collect enough examples to re-tune
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Prompt Engineering: Temporary Tool for RAG/Fine-tuning and Job Security Concerns
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prompt engineering is ephemeral both in that prompts are often best used only to scaffold the synthesis of human-reviewable examples for RAG or fine-tuning and in that i won't have a job in 5 years