Based on meta dot ai you mean but mobile native?
LLMS
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New Llama 3.2 Vision Models and Complete Collection Details
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Details on Llama 3.2 11B & 90B vision models — and the full collection of new Llama models
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SolarLLM Podcast: Google AI’s Latest Language Model
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PodCast about #SolarLLM by @GoogleAI #NotebookLM.
— Sung Kim (@hunkims) 29 septembre 2024
Also check out https://t.co/soZOfwlhzb. pic.twitter.com/ggO1uO7JKgPodCast about #SolarLLM by @GoogleAI #NotebookLM. Also check out https://
huggingface.co/upstage/solar-
pro-preview-instruct
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Claude vs Gemini: Choosing the Right Language Model
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Claude vs Gemini: A Guide to Choose the Right Model: Introduction Within the quickly changing field of artificial intelligence, two language models, Claude and Gemini,… https://
analyticsvidhya.com/blog/2024/09/c
laude-vs-gemini/?utm_source=dlvr.it&utm_medium=twitter
… #DataAnalytics #DataScience #DataDriven #CIO #BigData #AI #CTO #ArtificialIntelligence -
Model Merging Techniques and Hidden Representation Dynamics
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I'd say it barely works tbh… 🙂 It really depends on the type of merge and whether you retrain it or not. In this case, it's not really "working". The additional layers seem to push the hidden representations into new areas, which may or may not be interesting, depending on
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Distillation vs DPO: Model Optimization Techniques Comparison
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Yes, for sure. Distillation would be ideal but DPO would also work.
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Model Merges and 34B Evaluation Updates
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I would usually assume that but my merges do work though. It might have been fixed after the 34B eval?
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Open Multimodal LLM Releases Close Gap with Closed-Source Models
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Celebrating a crazy month of "Open Multimodal LLM Releases"! If you haven't followed it several research labs have release impressively capable open multimodal LLMs in September 2024: Qwen-VL, Pixtral, LLama 3.2 and Molmo, seriously closing the gap with closed-source model
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Self-Merge Experiments: 52B Model Success in BBH and MATH
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I want to share some results related to my self-merge experiments: – The 47B merge doesn't work: replicating blocks > layers (apologies for doubting it) – The 52B is successful in BBH and MATH Lvl 5. However, there might be an issue with the original model's MATH eval. This is
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Observations on OpenAI Prototype UI Changes
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Yes, this was in the earlier prototype. Now it is not there anymore on MacOS at least. I had more UI examples over here https://
testingcatalog.com/openai-will-in
troduce-her-on-may-13-here-is-what-she-looks-like/
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