Ready to get GPT-4 running on your own machine? Our latest blog covers setting up the OpenAI API, using W&B Weave for tracking, and generating content with GPT-4. Check out the step-by-step guide. Read more: https://lnkd.in/gjPgf-9h
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Pushing the limits with OpenAI custom GPT calling Actions! A bit geeked out video, but this is sooo cool. 😎 GPT can chain, in this case, five consecutive API calls together based on the short descriptions of what they do. This is normal with APIs - just like ours. One gets all your processes, second gets recent runs, then step runs, then artifacts, and finally a file download link. I am impressed! This was built with Robocorp AI Actions - an easy way to expose the real-life to the AI apps. Thanks Erik Palén!
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How OpenAI pushes you to select a model instead of the other. If you look at rate limits per tier, you'll notice that as you go up, GPT-4o has five times more TPM (Tokens Per Minute) limited compared to GPT-3.5-turbo (apart from tier 1). Tokens Per Minute is a vital measure when you're dealing with large data such as summarising articles, cleaning data, or generating long-form text.
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Using a JSON Agent with LangChain, LangSmith and OpenAI’s GPT-4o https://lnkd.in/gqwqUHPn
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Using a JSON Agent with LangChain, LangSmith and OpenAI’s GPT-4o - Ben Olney - https://lnkd.in/eCWk8uB3
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Inference Race To The Bottom Make It Up On Volume? Mixtral Inference Costs on H100, MI300X, H200, A100 Speculative Decoding 6 companies who pretrained GPT 3.5 or better models today 11 with GPT 3.5 or better soon https://lnkd.in/gbHX6GUd
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Putting GPT-o1 to a live test! What do you think, 🤗 or 💩 ?! I took three questions escalating in difficulty, all of which GPT-4o failed to get right, and put them to the new model from OpenAI. Watch to see the outcome...it might surprise you 😯 ___________________ I'm Dom Conte, and every couple of days I post about legaltech, AI and my journey from big law fee earning to the world of tech. Click my name + follow + 🔔 Like this post? Like 👍 | Comment ✍️ | Repost ♻️ | --------------------------------
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Fine-tuning is easier than ever. Updates to the OpenAI fine-tuning API might prove very useful to organizations who don't want to pay for GPT-4 but require more performance on certain tasks than the default GPT-3.5 model offers. https://lnkd.in/esYzRZZH
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The new OpenAI gpt-4o model is already available on the API with text and image support, and that means you can try it right now on the playground: https://lnkd.in/gzzxPi-s And as you can see, it's significantly faster (and 50% cheaper) over gpt-4-turbo. 🔥
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A new feature from OpenAI lets you process huge datasets with GPT-4 at 50% of the usual cost. The catch? You'll get results in 24 hours instead of instantly. A small tradeoff for potentially massive savings. Consider a relatively common AI task like analyzing a ~50,000 word document, extracting summaries, tags, and answers to specific questions. With the Batch feature, you could complete 1000 of these tasks on GPT-4 for around $175, instead of the usual $350. That's a significant cost reduction for data categorization, content generation, and analysis tasks.
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Founder & CEO at Troper - AI-Powered Automation | BCG | Glovo | Amazon | Driving efficiency, reducing costs, and increasing revenue with AI solutions | Sharing insights on AI, business, and life
Why We Might Never See GPT-5—And Why That’s OK Since OpenAI came out with GPT4 in March of last year, I think we've all been waiting for it to come out with GPT5, and see what additional advancements it has. But since two weeks ago they came out with o1, I don’t believe we’ll ever see a "GPT-5." Here's why: OpenAI o1 vs. GPT-4o: These models serve different purposes—GPT-4o excels at fast, intuitive (System 1) tasks, while o1 is designed for slower, logical reasoning (System 2). They complement each other, but neither is meant to replace the other. The real future? A single model that seamlessly combines both approaches, deciding when to use each. This convergence is likely the next step, not a simple GPT-5 upgrade. Why the wait? We’re still seeing previews of o1 and its multi-modal potential, which signals OpenAI’s shift to a new paradigm rather than just pushing out another numbered release. Names aside, what matters is the capability. A more unified, adaptable and versatile model will shape the future—whether or not it’s called GPT-5. OpenAI is focusing on a bigger picture, innovating with every single new release, and the evolution we're witnessing will make GPT-5 irrelevant before it even gets a chance to come out.
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