ShishirPatil/gorilla: Gorilla: An API store for LLMs https://
bit.ly/3rVTAbN
#AI #MachineLearning #DeepLearning #LLMs #DataScience
LLMS
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Gorilla: API Store for Large Language Models
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Groq LPU and LLMs Discussion at ADML Meetup with Oskar Mencer
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Do you have a passion for solving the technical challenges associated with using #AI techniques in real life settings? Join Oskar Mencer, CEO of @MaxelerTech, tomorrow at an ADML Meetup to hear about LLMs & the Groq Language Processing Unit™ (LPU™). http://
groq.link/adgm -
Learning AI Skills: Relevance vs. Investment in Rapid Evolution
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You think so! And what about learning? As in, learning about AI, how to train the models or productive them? Do you feel like this is relevant vs. investing in AI, or is this also evolving so fast that the acquired skills become obsolete, too?
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GPT-4 Falcon Llama2 Tokenizer Comparison Study Results
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And our answers are out! Running on 1B tokens from the web (filtered and mostly in English as details in https://
huggingface.co/papers/2306.01
116
…) we got – GPT4 tokenizer (100k vocab) gives you 0.997B tokens – Falcon tokenizer (64k vocab) gives you ~5% more tokens (1.04B)
– Llama2 tokenizer -
Affective Image Captioning with Contextual Cues Analysis
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Hi @acii_conf
! Interested in emotions and context? Vera Yang presents a new affective image captioning method to explore the effect of adding or subtracting contextual cues! 1:15pm in MR (LLM session) #acii2023 -
ChatGPT-4 Transforms Perspectives on AI Capabilities
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Check out the latest article in my newsletter: Redefining Intelligence: How ChatGPT-4 Shattered My Belief About What AI Can't Do https://
linkedin.com/pulse/redefini
ng-intelligence-how-chatgpt-4-shattered-my-belief-moioli
… via @LinkedIn -
Definition of Emergent Abilities in Large Language Models
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My personal opinion is that if you explicitly train for something but it only works for large-enough models, then I'd consider that emergent. Here is an example from https://
arxiv.org/abs/2112.00114 which is cited in our emergent abilities paper. -
Cognitive Architectures for Language Agents: Sumers et al.
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Cognitive Architectures for Language Agents Sumers et al.: https://
arxiv.org/abs/2309.02427 #Artificialintelligence #DeepLearning #GPT -
Create Your Own GPT with H2O GPT and LLM Studio
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Join us for a webinar with @Rob_Mulla Grandmaster & Sr. Principal Data Scientist at @h2oai
! Learn to create your own GPT with #h2oGPT & H2O #LLMStudio. Register: https://
bit.ly/3PyhiEs -
Melanie Mitchell on Reasoning Capabilities of Large Language Models
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As always Melanie Mitchell has is very insightful and precise, and decomposes difficult questions into pieces that can be analyzed. "Can Large Language Models Reason?".