Hm, well I mentioned PubMedGPT and GPT-3 finetuned on GMS8K in the post, does that count? If so, I'm sure I could find plenty more examples by skimming recent arxiv
LLMS
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Implementing Llama from Scratch: A Practical Guide
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Llama from scratch (or how to implement a paper without crying) https://
bit.ly/3PmBVCi -
GPT-3.5-turbo Long Context Coherence Optimization Strategies
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Any clever strategies for coherence when using long contexts with gpt-3.5-turbo-16k? Seems to still have trouble focusing (unlike 4).
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Free Webinar on LLM Models and Data Integration Deployment
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FREE webinar next week! Sep 26 You'll learn: • Data transformers
• Vector stores
• How to use LLM models
• How to chain data, user-code, and LLM modules together
• Deploy and monitor into production Register: https://
eventbrite.com/e/706850096667
?aff=oddtdtcreator
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Bing’s image interpretations impress; likely part of GPT-4 suite.
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Extremely impressed with Bing’s image interpretations. No doubt it’s part of the GPT-4 suite.
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GPT-4 Multimodality Rumored to Launch Soon, Potentially Beating Google’s Gemini
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Multimodality was announced (well, teased with a demo) at the March debut of GPT-4. Hearing credible insider rumors that it's going to come out v soon. The Information is reporting that they're about to drop it to beat Google to the punch with Gemini, but I doubt Google is
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Multimodal GPT-4 imminent, AI image interpretation will drive AutoGPTs insane
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Multimodal GPT-4 coming very soon. When AI can interpret images and web pages as good as it can interpret text, the AutoGPTs will go insane.
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Deploying LLMs Safely: DataRobot AI Platform Solutions
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Is your team struggling to deploy #LLMs into production? The DataRobot AI Platform empowers teams to deploy and monitor generative and predictive models quickly and safely. Learn how you can optimize models while safeguarding against potential risks in our latest technical
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Fine-Tuning Large Language Models: When and How
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New video! When and How to Fine-Tune Large Language Models Learn more: https://
youtu.be/7mOD9kgqRf0 #llm #llms #gpt #llama #llama2 #ai #whatsai -
Foundation Model Training: When Fine-tuning Isn’t the Right Choice
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I guess a case here to not finetune is if you are training your own foundation model and you can't easily finetune the next SOTA base model