Love this. May I use #SolarLLM at https://
colab.research.google.com/drive/1hiGt4dB
WEZ8Xsb3fUtONg3EEbguumaZ0#scrollTo=IqM-T1RTzY6C
… and add it as a tutorial at https://
github.com/hunkim/SolarLL
MZeroToAll
…? I will include the original link and give credit.
OPEN SOURCE
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SolarLLM Integration Tutorial Sharing on Google Colab
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Axelera AI Joins SGET for Embedded Computing Standards
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We've become members of @sget_org
, the international association that develops independent specifications for embedded computer technology. We look forward to collaborating with industry peers to define open standards and foster innovation. https://
sget.org/sget_members/a
xelera-ai/
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Charlie Mnemonic Update: Long-Term Memory and Stoic Mentor
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Today, we released a new update for Charlie Mnemonic – our open-source AI assistant with Long-Term Memory (LTM). LTM helps the agent learn new skills and gain knowledge from you. Now, with Memory Explorer. Another helpful addition is the Stoic Mentor personality, which allows
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HuggingFace Local Cache Layout Design Overview
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please take a look at the hf local cache layout! It's versioning aware and quite nice IMO:) https://
github.com/ggerganov/llam
a.cpp/issues/7252#issuecomment-2107098197
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Discover LLM Apps with RAG and AI Agents GitHub Repository
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Find all the awesome LLM Apps demo with RAG and AI agents in the following Github Repo. P.S: Don't forget to star the repo to show your support
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01AI Yi marks one year anniversary advancing accessible AGI
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It's been a busy week @01AI_Yi
. We had an intimate internal celebration to mark our one-year anniversary. Our vision, "Make AGI accessible and beneficial to everyone, everywhere," is a lofty goal. Thank the global LLM community for being open to diversity from other parts of the -
Yi-Large Launch Appreciation and LMSYS Diverse Language Support
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We want to THANK @lmsysorg for ur timely inclusion the day we launched Yi-Large (an unplanned clash w/ GPT-4o, ha). Also very encouraging to see your increasing inclusion of diversified languages (Chinese, French…) and advanced capabilities e.g. launching the latest Hard
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GPT-4o versus Llama-3: Local Free AI Model Deployment
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Not really sure, but much less with GPT-4o. Plus, soon I am come up with a version that runs on llama-3 locally. So free of cost.
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Which Hardware Should Be Added to Hardware List
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Which hardware should we add to that list https://
github.com/huggingface/hu
ggingface.js/blob/main/packages/tasks/src/hardware.ts
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Hugging Face Hardware Repository Seeks Community Contributions
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contribs are appreciated: https://
github.com/huggingface/hu
ggingface.js/blob/main/packages/tasks/src/hardware.ts
… =)