Meta and Qualcomm team up to run big A.I. models on phones https://
cnb.cx/473BTr0 #AI #MachineLearning #DeepLearning #LLMs #DataScience
LLMS
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Meta and Qualcomm Enable Large AI Models on Mobile Phones
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LLMs Transform Machine Learning: Reducing Engineering and Labeling Costs
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#LLMs address many of the flaws of #ML: ML before: heavy feature #engineering, hyperparameter search, costly #labeling. ML w/ LLMs: easy data processing, zero-shot/few-shot predictions w/ good performance, add domain data to prompt. Watch the video: https://
pbase.ai/3Oe2VDw -
AWS Enriches Amazon Bedrock with New Generative AI Models
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AWS enriches Amazon Bedrock with new models and advanced capabilities for generative AI https://actuia.com/actualite/aws-enrichit-amazon-bedrock-avec-de-nouveaux-modeles-et-des-capacites-avancees-pour-lia-generative/
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LLM Tools Value for Data Scientists and ML Engineers
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As a data scientist / machine learning engineer, how helpful is LLM tools like ChatGPT / Code Interpreter in your day to day work? Please comment the tool names and the value add, if any!
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Google Assistant AI Features Evolve Amid Layoffs and Bard Push
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Des assistants intelligents. Partout. https://
theverge.com/2023/7/31/2381
4702/google-assistant-ai-features-layoffs-bard
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Be My Eyes: AI-Powered Visual Assistance Platform for Global Connection
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Be My Eyes – See the world together https://
bit.ly/3DtGYvd
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Upstage Model Tops OpenLLM Leaderboard Benchmark Rankings
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Upstage tops the OpenLLM leaderboard once again! Our model outperformed big tech, including @OpenAI gpt3.5, @StabilityAI
, scoring a stunning 72.3 points! #OpenLLM1stPlace Checkout https://
huggingface.co/spaces/Hugging
FaceH4/open_llm_leaderboard
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ChatGPT Excludes Non-English Languages From AI Revolution
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#ChatGPT Is Cutting Non-English Languages Out of the #AI Revolution https://
bit.ly/3C0Bdo2 via @WIRED #ethics -
Suggestions for More Interesting Model Training Progression Sequences
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Ok fair, it would have been of course more interesting if they did SFT v1 -> SFT v2 -> SFT v3 -> … SFT v1 -> SFT v2 -> RLHF v1 -> … RLHF v1 -> RLHF v2 -> RLHF v2 -> …