A little known part of the origin story of LLMs: A lot of early Natural Language Processing research was funded by US intelligence agencies that had an interest in machine translation (and also speech recognition). This funding helped develop benchmarks, grow communities and
LLMS
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ChatGPT 4 Significantly Outperforms 3.5 for Developers
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devs that still doubt the productive power of chatgpt are def using 3.5 please try 4 before dunking
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Claude Used for Summarizing Calls and Podcasts
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i use claude for all summaries for calls/podcasts etc
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BART Abstractive Text Summarization with KerasNLP and Keras Core
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Abstractive text summarization with BART — using KerasNLP and Keras Core, with JAX
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Full Finetuning Missing from Parameter-Efficient Techniques Comparison
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That's a really nice figure! I would say in addition to all the parameter-efficient finetuning techniques, one category that is missing is full finetuning. That is, just training the model as is without PEFT.
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Arabic-English-Code Model Enables Multilingual Transfer Learning
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(2/2) Training on an Arabic-English-Code dataset has allowed for transfer learning from English to Arabic and also from Arabic to English. Access the model on Hugging Face: https://
huggingface.co/inception-mbzu
ai
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Jais Arabic LLM Outperforms LLaMa 13B Efficiently
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(1/2) Jais is the world's best-performing open-source Arabic language model. And in English, it performs as well as LLaMa 13B despite using a fraction of the training data and a fraction of the electricity to train. Contact us to learn more: http://
cerebras.net/contact-us -
Using LLMs for Automatic Response Grading and Evaluation
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im assuming you mean use an LLM to grade responses automatically? @WHinthorn may some stuff coming
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WizMap: Interactive Embedding Visualization for Large Language Models
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GitHub – poloclub/wizmap: Explore and interpret large embeddings in your browser with interactive visualization! https://
bit.ly/3Qvp2Iq #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Stability AI Leads DEF CON AI Red Team Challenge with 2200 Participants
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Stability AI joined forces with top AI companies at DEF CON AI in Vegas! Over 2,200 participants, 165,000 messages exchanged, and a lot of AI brilliance on large language models. Read all about it! #DEFCONAI #AIInnovation #StabilityAI https://
airedteam.org/news/more-than
-2-200-participants-exchange-more-than-165-000-messages-with-leading-artificial-intelligence-large-language-models-during-the-generative-red-team-challenge
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