Open-source agent with extensions built on MCP
OPEN SOURCE
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Qwen2.5-Max Released on Qwen Chat
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Qwen released Qwen2.5-Max and it is already available on Qwen Chat Test it!
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DeepSeek Flips Script in Favor of Open Source AI
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@deepseek_ai just flipped the script in favor of #OpenSourceAI and #inference, @RodrigoLiang told reporters @SquawkBoxEurope.
— SambaNova (@SambaNovaAI) 28 janvier 2025
Watch the interview w/ @ArjunKharpal, @cnbcKaren, and Steve Sedgwick to hear his insights: https://t.co/tr9YDnaUvF. @CNBC @SquawkCNBC #DeepSeek #AI pic.twitter.com/2P5OU7sUSx@deepseek_ai just flipped the script in favor of #OpenSourceAI and #inference, @RodrigoLiang told reporters @SquawkBoxEurope
. Watch the interview w/ @ArjunKharpal
, @cnbcKaren
, and Steve Sedgwick to hear his insights: https://
sambanova.ai/videos/deepsee
k-just-flipped-the-script-in-favor-of-open-source-ai-models
…. @CNBC @SquawkCNBC #DeepSeek #AI -
Running Your Own AI: More Options Available
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There is nothing quite like the feeling of running your own AI. More great options than ever.
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DeepSeek advances boost training efficiency for US AI labs
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An eventful day, but I am not personally worried for the following reasons: The new DeepSeek models show a number of advances that make training more efficient, and I expect those to be quickly incorporated by the leading US labs, giving them some additional performance
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Reinforcement Learning Introduction by Sutton and Barto PDF
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"Reinforcement Learning: An Introduction" Richard S. Sutton and Andrew G. Barto FULL PDF: http://
incompleteideas.net/book/RLbook202
0.pdf
… #Artificialintelligence #DeepLearning #ReinforcementLearning -
DeepSeek Releases Janus-Pro-7B Open-Source Multimodal AI Model
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DeepSeek just dropped ANOTHER open-source AI model, Janus-Pro-7B. It's multimodal (can generate images) and beats OpenAI's DALL-E 3 and Stable Diffusion across GenEval and DPG-Bench benchmarks. This is just super cool.
Now they will move their side project as their main project -
Qwen 2.5 7B Released with 1M Context Window
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Qwen 2.5 7B just dropped with a 1M context window. Here it is running at 4bit @ 11 tok/s.
— Aaron Ng (@localghost) 27 janvier 2025
Should we add it to the next update? 1M of context adds a lot of possibilities. pic.twitter.com/y4uhLfHKNSQwen 2.5 7B just dropped with a 1M context window. Here it is running at 4bit @ 11 tok/s. Should we add it to the next update? 1M of context adds a lot of possibilities.
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DeepSeek R1 True Training Costs Beyond $5.567M
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The R1 model wasn't free, and the DeepSeek R1 paper doesn't talk about costs at all. The $5.567M cost for DeepSeek is for when you have all the ingredients in front of you – running that recipe costs $5.567M. It doesn't consider the cost of procuring those ingredients (in this
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llama.cpp enables easy local model execution
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llama.cpp is the best! It’s wild that one can run a model of this size at the click of a button