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Artificial Intelligence – A Guide for Thinking Humans

Henrik Warne

Seeing a neural network that starts with random weights and, after training, is able to make good predictions is almost magical. In symbolic AI, the goal is to build systems that can reason like humans do when solving problems. This idea dominated the first three decades of the AI field, and produced so called expert systems.

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Scaling Startups: The Ultimate Guide For Founders

Luis Goncalves

While launching a startup is difficult, successfully scaling requires an entirely different skillset, strategy framework, and operational systems. This isn’t merely about hiring more salespeopleit’s about creating scalable systems efficiently converting prospects into customers. Keep all three in mind while scaling.

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How Pariti is connecting founders with capital, resources and talent in emerging markets

TechCrunch

I nvestors can run extremely lean operations with access to proprietary deal flow, automated deal filtering and on-demand experts to support due diligence, research and portfolio support. Joining the expert platform on Pariti, he began to review companies and provided feedback to other founders.

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20 years working on the same software product

Successful Software

PerfectTablePlan v1 PerfectTablePlan v7 I have released several other products since then, and done some training and consulting, but PerfectTablePlan remains my most successful product. It’s success is due to a lot of hard work, and a certain amount of dumb luck. It is about 145,000 lines of C++.

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Meez keeps recipes in one place so chefs can continue whipping up culinary delights

TechCrunch

Meez , a company creating professional recipe software and a culinary operating system, brought in its first-ever funding round of $6.5 He and his team built Meez to be a collaboration tool, recipe keeper and progression, training and prep tool all rolled into one — Sharkey referred to it as a “Google Drive for chefs.”.

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Host concurrent LLMs with LoRAX

AWS Machine Learning - AI

Traditional model serving approaches can become unwieldy and resource-intensive, leading to increased infrastructure costs, operational overhead, and potential performance bottlenecks, due to the size and hardware requirements to maintain a high-performing FM. LoRAX also can pull adapter files from Hugging Face at runtime.

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2018: A Year in Review for Storage Systems.

Hu's Place - HitachiVantara

For lack of similar capabilities, some of our competitors began implying that we would no longer be focused on the innovative data infrastructure, storage and compute solutions that were the hallmark of Hitachi Data Systems. 2018 was a very busy year for Hitachi Vantara.