Morning Overview on MSNOpinion
AI’s next wave: new designs, AGI bets, and less LLM hype
After a breakneck expansion of generative tools, the AI industry is entering a more sober phase that prizes new architectures ...
Recently Air Canada was in the news regarding the outcome of Moffatt v. Air Canada, in which Air Canada was forced to pay restitution to Mr. Moffatt after the latter had been disadvantaged by advice ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More To scale up large language models (LLMs) in support of long-term AI ...
Much of the interest surrounding artificial intelligence (AI) is caught up with the battle of competing AI models on benchmark tests or new so-called multi-modal capabilities. But users of Gen AI's ...
We are in an exciting era where AI advancements are transforming professional practices. Since its release, GPT-3 has “assisted” professionals in the SEM field with their content-related tasks.
A new study from Google researchers introduces "sufficient context," a novel perspective for understanding and improving retrieval augmented generation (RAG) systems in large language models (LLMs).
The advent of transformers and large language models (LLMs) has vastly improved the accuracy, relevance and speed-to-market of AI applications. As the core technology behind LLMs, transformers enable ...
A consistent media flood of sensational hallucinations from the big AI chatbots. Widespread fear of job loss, especially due to lack of proper communication from leadership - and relentless overhyping ...
The hype and awe around generative AI have waned to some extent. “Generalist” large language models (LLMs) like GPT-4, Gemini (formerly Bard), and Llama whip up smart-sounding sentences, but their ...
To operate, organisations in the financial services sector require hundreds of thousands of documents of rich, contextualised data. And to organise, analyse and then use that data, they are ...
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