Started a collection with all the benchmark spaces I know on the hub and some description. Do you know other benchmark on the Hugging Face hub? ping me and I'll add them! https://
huggingface.co/collections/op
en-llm-leaderboard/the-big-benchmarks-collection-64faca6335a7fc7d4ffe974a
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LLMS
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Big Benchmarks Collection: Comprehensive LLM Evaluation Resources Hub
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Technology Innovation Institute Presents Falcon 180B LLM
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Technology Innovation Institute Presents Its Falcon 180B LLM https://actuia.com/actualite/le-technology-innovation-institute-presente-son-llm-falcon-180b/
… #AI #artificialintelligence
@TIIuae -
Adept’s Open Model: Faster Inference Results and Techniques
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Results from adepts new open model and how they’ve achieved faster inference https://
x.com/ByJohnnyLee/st
/ByJohnnyLee/status/1699835884097651145
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Anyscale Endpoints allows easy swapping between Llama 2 and closed models
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Anyscale Endpoints enables AI application developers to easily swap closed models for the Llama 2 models — or use open models along with closed models in the same application.
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Meta and Anyscale collaborate on Llama 2 developer opportunities
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Thanks for the collaboration — we're excited for what developers will be able to do with Llama 2 through Anyscale Endpoints!
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Large Language Models Beyond Text Generation: Diverse Use Cases
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#LLMs are not just a fad. We see #LargeLanguageModels doing much more than just generate text! Check out our recent blog to learn about the wide range of use cases with video demos.
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LLMs Transform Gaming: Lower Entry Barriers in Five Years
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Gaming is going to look very different in the next 5 years thanks in large part to LLM’s (barrier to entry goes down). If you are watching closely, you can start to see this play out with the ChatGPT plug-in ecosystem cool article showing this!
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Amazon Bedrock Launches New Agents Feature for AI
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Amazon Bedrock Unveils New Agents Feature https://
bit.ly/3Otuuso
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T-Few Fine-tuning: Cohere’s Custom Model Training Approach
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At Cohere, we implement the T-Few technique (Liu et al., 2022) for training and serving custom models. In this blog post, we delve into the concept of T-Few finetuning, explore its benefits, and explain our implementation workflow.
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AI21 Studio at SaaStr Annual 2023 – Customize Language Models
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Be sure to drop by booth 223 at this year's SaaStr Annual event! Explore the remarkable capabilities of AI21 Studio and discover how you can can easily customize language models to meet your specific needs. #ai21studio #saastr2023 #NLP