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Sora early access: Your guide to securing a spot

Dataconomy

Are you looking for the news everyday for Sora early access like us? Education transformed: Sora could make learning more engaging by creating interactive videos tailored to specific topics or individual learning styles. Follow OpenAI on social media (especially Twitter – @OpenAI) and sign up for their blog updates.

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ODSC’s AI Weekly Recap: Week of February 2nd

ODSC - Open Data Science

Artificial intelligence has been moving at the speed of light with all of the news that has come out. Blogs or News to Share? If you have any blogs, industry news, product launches, job postings, fundraising news, or open-source launches to add to our newsletter then please send them to: blogs@odsc.com.

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ODSC’s AI Weekly Recap: Week of February 2nd

ODSC - Open Data Science

Artificial intelligence has been moving at the speed of light with all of the news that has come out. Sign up for our brand-new AI Weekly Recap newsletter! Blogs or News to Share? So let’s recap what we covered here at ODSC and other stories that we may have missed so you can stay in the know of all things AI.

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LLM Use-Cases: Top 10 industries that can benefit from using large language models

Data Science Dojo

LLM Use-Cases: 10 industries revolutionized by large language models Large language models are also instrumental in creating innovative search engines, educational chatbots, and composition tools for music, poetry, narratives, marketing materials, and beyond. This can help students to access educational materials in their native language.

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Launching our LangChain & Vector DBs in Production course — 50+ lessons & practical projects for free

Towards AI

We are launching the Foundational Model Certification course, an educational journey for the next generation of AI professionals and enthusiasts. Spanning over 50 lessons and 10 practical projects, the course offers a comprehensive exploration of Large Language Models (LLMs), leveraging the capabilities of LangChain and Deep Lake.

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RAG vs finetuning: Which is the best tool for optimized LLM performance?

Data Science Dojo

This is the second blog in the series of RAG and finetuning, highlighting a detailed comparison of the two approaches. Let’s explore and address the RAG vs finetuning debate to determine the best tool to optimize LLM performance.

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Generative AI use cases for the enterprise

IBM Journey to AI blog

The result will be unusable if a user prompts the model to write a factual news article. The speed and scale of generative AI’s ability to create new content and useful assets is difficult to pass up for any discipline that relies on producing high volumes of written or designed content.

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