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With Generative AI Advances, The Time to Tackle Responsible AI Is Now

Unite.AI

AI models in production. Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency. In 2022, companies had an average of 3.8

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All You Need to Know About Gemma, the Open-Source LLM Powerhouse

Analytics Vidhya

Google has been a frontrunner in AI research, contributing significantly to the open-source community with transformative technologies like TensorFlow, BERT, T5, JAX, AlphaFold, and AlphaCode. What is Gemma LLM?

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Meta raises the bar with open source Llama 3 LLM

AI News

Meta has introduced Llama 3 , the next generation of its state-of-the-art open source large language model (LLM). The company’s 8 billion parameter pretrained model also sets new benchmarks on popular LLM evaluation tasks: “We believe these are the best open source models of their class, period,” stated Meta.

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Decoding Opportunities and Challenges for LLM Agents in Generative AI

Unite.AI

We are seeing a progression of Generative AI applications powered by large language models (LLM) from prompts to retrieval augmented generation (RAG) to agents. In my previous article , we saw a ladder of intelligence of patterns for building LLM powered applications. Let's look in detail. Sounds exciting!?

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Unlearning Copyrighted Data From a Trained LLM – Is It Possible?

Unite.AI

In the domains of artificial intelligence (AI) and machine learning (ML), large language models (LLMs) showcase both achievements and challenges. Trained on vast textual datasets, LLM models encapsulate human language and knowledge. Why is LLM Unlearning Needed?

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Top 10 LLM Vulnerabilities

Unite.AI

In artificial intelligence (AI), the power and potential of Large Language Models (LLMs) are undeniable, especially after OpenAI’s groundbreaking releases such as ChatGPT and GPT-4. Despite rapid transformation, there are numerous LLM vulnerabilities and shortcomings that must be addressed.

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1. The Need for Responsible AI Practices within Organizations

Towards AI

Last Updated on October 6, 2023 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. As generative AI becomes increasingly prevalent, the responsibility to wield its power ethically and sustainably has become a paramount concern. Join thousands of data leaders on the AI newsletter.