We blame platform decay on greed, but the truth is more tragic: rigid architectures inevitably harden from negligence into gross negligence, willful ignorance, and ultimately malice. At the conclusion of this essay, I reveal a definitive solution to break this destructive cycle.
Read PostThe MoE Mirage: How Meta’s LLaMA 4 Maverick Falls Short of the Hype Meta recently unveiled its highly anticipated LLaMA 4 family, prominently featuring two ...
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Imagine AI agents that not only comprehend your requests but also take action on them, retrieving real-time data, engaging with your preferred services, and providing insights formatted to perfection. With the advanced features of OpenAI's API, this vision is now attainable. Join us as we delve into the intricacies of tool calling, response optimization, and the craft of creating genuinely intelligent agents. This journey transcends mere code; it's about redefining the future of human-computer interaction.
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OpenAI is on a mission to develop artificial general intelligence (AGI), following a five-stage roadmap. A key part of this plan is "Operator," a new AI agent designed to act on users' behalf, possibly transforming our interaction with technology. Could "Operator" be crucial in achieving human-level reasoning and problem-solving, as envisioned in OpenAI's roadmap? Let's delve into Operators, their links to neural networks, and their potential to revolutionize industries like customer service and scientific discovery.
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Armed with expertise in language modeling and generative AI, Ziping Liu probes the practical obstacles and fixes when utilizing NVIDIA Tesla GPUs for running extensive language models (LLMs) on personal setups, including laptops with external GPU adapters. He guides us through the technical setup and all needed adjustments for top-notch performance on various operating systems. Despite facing initial impediments, Liu triumphs in running the Tesla GPU effectively using Thunderbolt connections and diligently offers detailed technical steps, which cover specifics of operating systems, power setups, and connection tips. Liu shares the cost-effectiveness and practicality of favoring older GPUs such as the Tesla series over the latest models and cloud-based solutions, thus enriching us with his personal AI learning experiences and general trends in computational requirements demanding GPUs.
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