LLM

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I gave my native LLM power context, and it in any case stopped making the similar errors

I have been operating native LLMs for a number of months now, and I’m going to be truthful, it is extra succesful than I anticipated, but additionally extra hands-on than I sought after. There’s a efficiency drop in comparison to cloud AI, alternatively, that is strangely manageable – the opposite factor is the interface and […]

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LLM From Scratch is a hands-on workshop the place you write each and every piece of an AI from not anything

Abstract Unfastened hands-on “LLM From Scratch” direction that builds a tiny LLM from not anything to a operating style. It is available in six portions: tokenization, transformer, coaching loop, technology, scaling experiments, and a poetry pageant. Constructed for hobbyists – runs on a pc; see the LLM From Scratch GitHub for main points. Have you

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DevPass via LLM Gateway: One key to get right of entry to each and every coding style in 3 flat costs

Hello Product Hunt 👋 We began LLM Gateway as a result of we saved looking at token expenses swallow our dev funds. Each and every flagship style on a distinct dashboard, each and every agent on a distinct key, each and every month a distinct marvel at the bill. DevPass is the model we needed

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Knowly 1.0: LLM Wiki + NotebookLM, in a single closed-loop Proactive AI

Hiya Hunters 👋 — I am Yuetong, founding father of Knowly. The most straightforward approach I will describe Knowly: Karpathy’s LLM Wiki + NotebookLM — mixed into one closed-loop, proactive AI. Two reference issues and two lacking items: 🧠 LLM WIKI — Karpathy’s fresh concept for the usage of LLMs to construct a non-public wiki

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Spot marketplace API for inexpensive LLM inference – The Grid

From the outline, I used to be beneath the influence it’s shaped round a dynamic pool of inference suppliers, nevertheless it appears adore it’s extra keen on aliasing other categories of type capacity beneath particular tier and bundling them. I am in reality the use of inference APIs slightly so much and I would have

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Construction a neighborhood LLM information temporary taught me my actual downside wasn’t the assets, it used to be the apps

I used to assume my information downside used to be a supply downside. I had too many apps, too many feeds, too many indicators, and now not sufficient endurance for the mess between them. Each and every app sought after to be the very first thing I checked within the morning, which intended none of

Construction a neighborhood LLM information temporary taught me my actual downside wasn’t the assets, it used to be the apps Read More »

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I changed NotebookLM with a neighborhood LLM, and the variation is night time and day

NotebookLM is truly one of the most higher AI equipment I exploit, and I’ve been on it lengthy sufficient to have an actual opinion on it. How it remains grounded to your resources, the quotation habits, the interactive thoughts maps are all one of the most beneficial options in my workflow – not anything else

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LifeOS | Use your LLM context to search out buddies and collaborators

@curiouskitty  Information Dealing with -> Best your inferences are saved (eg: searching for a co-founder, tennis spouse and so forth). Your personal context isn’t saved. Not anything is shipped to 3rd birthday celebration style suppliers Consumer information controls -> Lately you have got the selection to delete your account and take away all information. However

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DeepSeek | Open-source LLM optimized for complicated reasoning and code

Reviewers most commonly see DeepSeek as a powerful unfastened AI for coding, analysis, long-context paintings, and looking huge recordsdata, with a number of announcing it handles advanced questions neatly and feels helpful for day by day use. Customers additionally be aware transparent limits: responses will also be too wordy, pace can lag, and busy servers

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Get right of entry to 1 billion tokens per thirty days totally free – Loose LLM API

Whats up ProductHunt fam, I created an open supply mission that aggregates the unfastened tiers from each and every main LLM supplier into one API. You plug to your keys, it handles the remaining – routing, charge restricting, automated fallback when one supplier hits its quota. No bank cards wanted. Nice for AI prototyping or

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