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1/ LLMs for Discoveries in Mathematical Sciences – uses LLMs to search for new solutions in mathematics & computer science.https://t.co/2gCvLQtA2l
— DAIR.AI (@dair_ai) 17 décembre 2023
1/ LLMs for Discoveries in Mathematical Sciences – uses LLMs to search for new solutions in mathematics & computer science.
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Tbf Reddit user felt a huge advantage in coding compared to gpt4.0 api.
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Several people on Reddit realize huge increases in in coding skills via GPT 4.5. seems to be a real release
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GPT 4.5 Turbo confirmed. Several users on Reddit confirm this
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yes, that's right, the agi is at the forefront of the conversation in openai. It's subcontracting user requests to llms. @sama
, how many agis are working at @OpenAI ? slower response when changing to 4.0
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Estimating an Optimal Learning Rate For a Neural Network. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #JavaScript #ReactJS #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/L-R-Neural-Net
work
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What size is that correlation? https://
bit.ly/3uNKyiz #AI #MachineLearning #DeepLearning #LLMs #DataScience
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Added a few more OSS LLMs to @apolloaiapp:
— Aaron Ng (@localghost) 17 décembre 2023
+ Mixtral 8x7B
+ OpenOrca (Mistral 7B)
+ Nous Hermes LLaMA-2 7/13/70B
+ Meta LLaMA-2 Chat 7/13/70B pic.twitter.com/vLuhU9Gehy
Added a few more OSS LLMs to @apolloaiapp
: + Mixtral 8x7B
+ OpenOrca (Mistral 7B)
+ Nous Hermes LLaMA-2 7/13/70B
+ Meta LLaMA-2 Chat 7/13/70B
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Some thoughts on how the actual market for competitive OSS models is manifesting via endpoints from @togethercompute
, @anyscalecompute
, @perplexity_ai
, and so on for Mixtral 8x7B—which is about as performant as GPT-3.5 Turbo on some benchmarks.
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That’s on cost obv, the other issue w/ GPT-4 is rate limiting /reliability, which if you use any of the above you’re still relying on AN endpoint. But we went from like a theoretical “oh one day” to seeing the actual economics coalesce around what a pretty good model will cost.