the easiest and fastest place to try the new largest Llama v2 70B online seems to be here at the moment afaict with good latency: https://
huggingface.co/spaces/ysharma
/Explore_llamav2_with_TGI
… Post other online demo of the 70B in the replies here
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Llama v2 70B: Fastest Online Demo Access Guide
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LangSmith Integration Enables Visibility Into LangChain API Calls
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One of the cool things about LangSmith is it integrates seamlessly with all projects built on top of or integrated with LangChain Particularly useful for seeing what calls are actually getting made + the prompts that are used! Here is the call that PandasAI makes:
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Try Llama 70B Model Online Without Download Installation
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Easiest way to try the 70B without download/install is here at the moment: https://
huggingface.co/spaces/ysharma
/Explore_llamav2_with_TGI
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New 70B Model Outperforms Open Source Language Models on Benchmarks
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Our new 70B model outperforms published results from other open sourced language models across external benchmarks such as MMLU, TriviaQA, GSM8K, AGIEval and more.
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Llama 2: Advanced Open Language Model with Expanded Context Length
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Llama 2 is a step forward for commercially available language models and open innovation in AI. These new models were pretrained on 2T tokens, and have double the context length when compared to the original release of Llama. Download Llama 2 https://
bit.ly/3Q45cDS -
AI Transforming Biology: Digital Speed Science Advancement
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I’ve always been passionate about AI’s ability to transform the field of biology – it's just one example of AI enabling science at digital speed. We’re already starting to see the positive impact of this work. Much more to come.
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Fine-tune LLM models on your own infrastructure
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you can fine tune on your own machine / infrastructure, in which case you'll definitely own the model! https://
scaleapi.github.io/llm-engine/gui
des/self_hosting/
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SimPer: Self-Supervised Contrastive Learning for Periodic Data
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SimPer is a self-supervised contrastive framework for learning periodic information in data, while improving data efficiency and generalization to distribution shifts. Check it out and copy the code → https://t.co/P7eEpf1AKq pic.twitter.com/40G18nzKeu
— Google AI (@GoogleAI) 18 juillet 2023SimPer is a self-supervised contrastive framework for learning periodic information in data, while improving data efficiency and generalization to distribution shifts. Check it out and copy the code → https://
goo.gle/3XZcFWC -
Launch Partner for Llama 2 Announcement
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we were proud to be a launch partner of LLAMA 2 and help do our part @scale_AI
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Fast hosting and open source package for AI fine-tuning
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fast hosting and fine-tuning, and open source package for you to run it on your own!