Also built out a completely separate infrastructure for Twitch that wasn’t on Amazon as most people forget—the guy knows distributed computing.
SOFTWARE
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Fine-tuning LoRA with Adafactor and activation checkpointing
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Even fine tuning regular lora with adafactor would do for now though. With activation checkpointing that’ll handle a reasonable size model
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GPT Crawler Tool for Creating Custom AI Knowledge Bases
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The GPT Crawler repository is now trending on Github. It lets you to crawl a website and export to json file which you can use as a knowledge base in your GPT
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Microsoft Edge introduces new UI to streamline AI interactions
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ICYMI: Edge browser streamlines AI interactions with new Prompt Builder UI
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Over-Engineering vs KISS: Premature Complexity in System Design
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The opposite of KISS would be, for example: Assuming that we need to build a system for millions of users, with auto-scaling, automating migration of user data, end-to-end encryption … and starting to solve these problems on day one, before the first MVP of LTM was even built.
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Over-Engineering Small Projects: Recognizing Unnecessary Complexity
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Yes, many things are "it depends." But you can spot the pattern I describe when the project is still small, but the solutions are already overly complicated.
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Rapid Prototyping Over Perfect Code in AI Development
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I should add: Absence of rapid prototyping. Engaging in excessively long iteration loops. For example, spending a month writing 'perfect code' and only then seeing if it was a good idea in the first place. In contrast, a high-level prototype developed in three days could
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Unsuccessful Programmers: Overengineering and Complexity Traps
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This is so true. The most unsuccessful programmers I've met are characterized by: Premature overdesign and overengineering for hypothetical problems that often never materialize Constantly increasing the complexity of their code through:
Unnecessary abstractions
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Ray AI Runtime Simplifies LLM Fine-Tuning at Scale
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With Ray AI Runtime, fine-tuning #LLMs is a breeze By enabling simple scaling of workloads, workflows, and frameworks, Ray AI Runtime simplifies the ecosystem of ML frameworks, platforms, and tools. Check out these use cases https://
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Mac Devices Deliver Smooth User Experience
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You need mac for a smooth experience of using a device. It is the best.