CURATED

Featured Journeys

Embark on a journey through our travel tales—discover eclectic narratives, savor wanderlust stories, and immerse yourself in the vibrant tapestry of pure and wonderful experiences. Join the adventure and embrace the wanderlust lifestyle we want to share with you.

curated by

Laura Sultan

Featured journeys
  • The MoE Mirage: How Meta’s LLaMA 4 Maverick Falls Short of the Hype
    by 子平
    The 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 models: the smaller-scale Scout and the supposedly revolutionary Maverick. Headlines praised these models as breakthroughs, touting their scalability, inference speed, and even claiming GPT-4-class performance. However, a closer look at… Read more: The MoE Mirage: How Meta’s LLaMA 4 Maverick Falls Short of the Hype
  • Utilizing Advanced Features of OpenAI’s API for AI Agent Development
    by 子平
    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.
  • OpenAI’s Five Stages of AI and the Rise of the Operator
    by 子平
    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.
  • Resourceful Utilization of Legacy NVIDIA Tesla P Series GPUs for Cost-Effective Development on a MacBook Pro
    by 子平
    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.
Recomended Experiences
  • The MoE Mirage: How Meta’s LLaMA 4 Maverick Falls Short of the Hype
    by 子平
    The 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 models: the smaller-scale Scout and the supposedly revolutionary Maverick. Headlines praised these models as breakthroughs, touting their scalability, inference speed, and even claiming GPT-4-class performance. However, a closer look at… Read more: The MoE Mirage: How Meta’s LLaMA 4 Maverick Falls Short of the Hype
  • Utilizing Advanced Features of OpenAI’s API for AI Agent Development
    by 子平
    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.
  • OpenAI’s Five Stages of AI and the Rise of the Operator
    by 子平
    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.
  • Resourceful Utilization of Legacy NVIDIA Tesla P Series GPUs for Cost-Effective Development on a MacBook Pro
    by 子平
    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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