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Link to the Llama tool: labs.perplexity.ai
In this video, we delve into the world of AI and machine learning models, specifically focusing on Llama-2, a newly released Large Language Model developed by Meta. We compare this free open-source tool with its paid counterpart, ChatGPT.
👉 Timestamps:
00:00 – 00:21: Introduction and context for today’s video.
00:21 – 00:39: Guide on how to get started with the Llama-2 model.
00:39 – 01:00: Tips on how to select parameters to get optimal responses.
01:00 – 01:03: Wrap-up and thanks for watching.
đź”— Link to the Llama tool: labs.perplexity.ai
📝 Summary:
Introduction (00:00 – 00:21): We kick off the video by introducing the purpose and main subject – Llama 2, the newly released open-source Large Language Model by Media. This video will demonstrate how to use and test Llama, which offers a free alternative to the paid ChatGPT.
Getting Started with Llama (00:21 – 00:39): We guide you to the site where you can access the Llama model – labs.perplexity.ai. We also walk you through the interface, paying special attention to the options available at the bottom right of the screen – 7B chat, 13B chat, and 70B chat.
Choosing Parameters (00:39 – 01:00): Here, we advise you to select the 70B chat option, as it provides better responses due to its use of 70 billion parameters, as compared to the default 13 billion. We discuss how you can use Llama to do a comparison with other models like ChatGPT.
Conclusion (01:00 – 01:03): We conclude the tutorial by encouraging viewers to click on the provided link and give Llama a test run, reminding them of the tool’s free accessibility.
This tutorial is for those interested in AI, machine learning, and more specifically, language models. It aims to make accessible a powerful new tool that can facilitate various tasks or experiments in these fields.
Stay tuned for more tech guides and AI discussions. As always, don’t forget to like, comment, share, and subscribe!
#AI #MachineLearning #Llama #LanguageModels