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From checkers to chess: A brief history of IBM AI

IBM Journey to AI blog

The computer set the stage for how machines could help businesses make decisions at the enterprise level by using capabilities such as Key Point Analysis , designed to examine large bodies of complex documents and produce a ranked list of summarized key points; a concise, data-driven list of information users can quickly act on.

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Eric Landau, Co-Founder & CEO of Encord – Interview Series

Unite.AI

The $30 million in Series B funding will be used to drastically increase the size of our product, engineering, and AI research teams over the next six months and accelerate the development of Encord Index and other new features. How will this funding accelerate your product roadmap and expansion plans?

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Open source large language models: Benefits, risks and types

IBM Journey to AI blog

Bloom by BigScience is a multilingual language model created by more than 1,000 AI researchers. As new AI regulations impose guidelines around the use of AI, it is critical to not just manage and govern AI models but, equally importantly, to govern the data put into the AI.

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The Limits of Retrieval Augmentation, 8 AI Research Labs Worth Exploring, and Supercharging LLMs…

ODSC - Open Data Science

The Limits of Retrieval Augmentation, 8 AI Research Labs Worth Exploring, and Supercharging LLMs with LangChain Is RAG All You Need? Take a deep dive into Machine Learning, NLP, Large Language Models, Generative AI, MLOps, and more with 250+ experts, core contributors, and practitioners shaping the future of AI.

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The Sequence Radar #516: NVIDIA’s AI Hardware and Software Synergies are Getting Scary Good

TheSequence

🔎 AI Research Synthetic Data and Differential Privacy In the paper "Private prediction for large-scale synthetic text generation " researchers from Google present an approach for generating differentially private synthetic text using large language models via private prediction. Mistral Small 3.1

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Yann LeCun's Vision Starts Materializing

TheSequence

In an era where therea are plenty of newsletters about news in AI, we try to maintain a high bar by focusing on unique, deep technical content about AI research and tech. Today, we could with over 160,000 subscribers including many of the top AI labs in the world.

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Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

However, if AGI development uses similar building blocks as narrow AI, some existing tools and technologies will likely be crucial for adoption. The exact nature of general intelligence in AGI remains a topic of debate among AI researchers.