AI researchers disagree on what exactly an AI agent is or does.
The toolkit is designed to help developers save time by acting as a connective tissue between agent frameworks.
Tom's Hardware on MSN4h
AMD launches Gaia open source project for running LLMs locally on any PCAMD introduces Gaia, an open-source project designed to run large language models locally on any PC. It also boasts ...
BetHarmony, is a pioneering AI betting agent for casino and sportsbook players, developed by Symphony Solutions. It takes the hassle out of onboarding, simplifies transactions, and keeps players ...
This article explores four key methods—prompting LLMs, building retrieval-augmented generation (RAG) systems, fine-tuning LLMs and developing AI agents—and evaluates their role in shaping the ...
The potential of multi-agent systems is a significant opportunity for many businesses in different fields, but there are ...
Open-source AI agent startup Onyx, which queries company documents and tools, raised a $10 million seed round led by Khosla ...
Good examples of RAG usage: enterprise search, and many types of digital assistants/co-pilots/chatbots, which answer users' queries on specialized documents/topics. Of course, in the case of ...
A whale successfully executed a highly leveraged short position on Bitcoin, netting an impressive $10 million in profits – a ...
The agents could help developers automate their processes for building AI applications and enable natural language ...
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