AI teams ; LLM AND Tweet
Common descendants
21 Documents
Jeremy Howard sur X : "FSDP/QDoRA with Llama3 : I believe that this combination is likely to create better task-specific models than anything else at any cost."
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2024-04-23 About
Zeyuan Allen-Zhu sur X : " surprisingly, when pre-training good data (e.g., Wiki) together with "junks" (e.g., Common Crawl), LLM's capacity on good data may decrease by 20x times!"
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2024-04-10 About
Mathieu Trachino sur X : "Why @huggingface Assistants are better than GPTs..."
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2024-02-03 About
Rachit Bansal sur X : "An LLM can be efficiently *composed* with specialized (L)LMs to enable new tasks"
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2024-01-06 About
Philipp Schmid sur X : “YaRN” allows you to scale LLMs like llama 2 to over 100k context!...
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2023-09-01 About
Andrej Karpathy sur Twitter : "How is LLaMa.cpp possible?"
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2023-08-16 About
Simon Willison sur Twitter : "Run Llama 2 on your own Mac using LLM and Homebrew..."
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2023-08-02 About
Andrej Karpathy sur Twitter : "My fun weekend hack: llama2.c Lets you train a baby Llama 2 model in PyTorch, then inference it with one 500-line file with no dependencies, in pure C."
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2023-07-24 About
clem 🤗 sur Twitter : "Llama 2 by @Meta is already integrated with @huggingface transformers, TGI, inference endpoints, PEFT and much more..."
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2023-07-19 About
Hyung Won Chung sur Twitter : "RLHF as an instance of using a learned objective function"
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2023-05-18 About
DataChazGPT sur Twitter : "The new 𝚝𝚛𝚊𝚗𝚜𝚏𝚘𝚛𝚖𝚎𝚛𝚜.𝚝𝚘𝚘𝚕𝚜 library from @huggingface is insane! E.g. you can summarize and chat with a PDF in just 6 lines of code..."
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2023-05-14 About
Daniel Vila Suero sur Twitter : "Data quality is key for LLMs, but we're building Open Source LLMs with data of "unknown" quality... Introducing Alpaca GarbageCollector..."
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2023-04-05 About
Jeremy Howard sur Twitter : "There's a lot of folks under the misunderstanding that it's now possible to run a 30B param LLM in <6GB, based on this GitHub discussion. This is not the case..." (thread)
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2023-04-03 About
Guillaume Lample sur Twitter : "Today we release LLaMA, 4 foundation models ranging from 7B to 65B parameters..."
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2023-02-25 About
Maria Khalusova @maria@recsys.social sur Twitter : "Did you know that you can tweak the text output generated by a LLM without changing any of the trainable parameters?..."
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2023-02-23 About
Ramsri Goutham Golla sur Twitter : "The most practical open-source competitor to @OpenAI 's GPT-3 is Google's Flan-T5 Here are 5 Flan-T5 resources to try out easily, deploy, or fine-tune it! 🧵" / Twitter
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2023-02-04 About
Shayne Longpre sur Twitter : "What’s the best completely public competitor to #ChatGPT? Flan-T5 beats all public models we tested..."
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2023-02-01 About
Andrej Karpathy sur Twitter : "Great post (5mo ago) "chinchilla's wild implications" giving context to LLM goldrush shifting from model size to dataset size..."
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2023-01-05 About
Akari Asai sur Twitter : "Can we solely rely on LLMs’ memories (eg replace search w ChatGPT)? Probably not... Our analysis shows how retrieval is complementary to LLMs’ parametric knowledge..."
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2022-12-21 About
Omer Levy sur Twitter : "What if I told you that fine-tuning T5-Large (0.8B params) on a couple hundred examples could outperform GPT-3 (175B params) on a bunch of tasks?"
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2021-10-13 About
Hugging Face sur Twitter : "Transformers release of the Retrieval-Augmented Generation model in collaboration with @facebookai!"
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2021-02-23 About