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@engineerrprompt

Building https://t.co/w2mi5UKxJv, Creator of localGPT | AI Educator

Katılım Temmuz 2023
1.2K Takip Edilen2.2K Takipçiler
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Prompt@engineerrprompt·
Yesterday I released the 'preview' of LocalGPT v2, and its already trending on Github Its an opinionated implementation of private RAG powered by local models via @ollama and @huggingface. Give it a ⭐️ on @github (🙏🙏) Watch the video in next post to learn how it was built...
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Prompt@engineerrprompt·
EiD Mubarak :)
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Prompt@engineerrprompt·
DeepSeek-v4-Pro 75% discount is now permanent! We are seeing an interesting trend. Western frontier models keep getting more expensive and Chinese ones keep getting cheaper. Either the compute constraints aren't as tight as we thought, or the efficiency gains on the algorithm and homegrown hardware side are actually working.
DeepSeek@deepseek_ai

We are making our discount permanent! 🎉 Enjoy building with DeepSeek-V4-Pro and bring your innovative ideas to life! 🚀

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Prompt@engineerrprompt·
Gemini Flash is a really great model. It's fast and close to the frontier. I had early access to the model thanks to @GoogleDeepMind and it's a lot of fun to use. Give it a try!
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Prompt@engineerrprompt·
Gemini 3.5 Flash, first impressions. I had early access to the model, and it feels on par with Gemini 3.1 Pro Preview. The first GA release from Google in a while at announcement for a Gemini model. It's a good model but now is 3x expensive compared to previous Flash. Here is the video: youtu.be/v1xqYZ3s23s
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Prompt@engineerrprompt·
These are some really impressive numbers from Google on AI adoption.
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Prompt@engineerrprompt·
@Stewart_of_Mars Thanks, I plan to do more on the topic. Stay tuned
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Eric Stewart
Eric Stewart@Stewart_of_Mars·
"HarnessCraft" @engineerrprompt Great video today. The last few harness videos were absolute bangers.
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Prompt@engineerrprompt·
This is what I have been saying in my videos. You don't need frontier models for every application. You need frontier models for building but once it comes to customer facing deployment, you need a model with good balance between cost and performance/latency.
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News from Google@NewsFromGoogle

New stat from @vercel's AI Gateway in @BusinessInsider: Gemini 3 Flash is leading across AI models in token usage as of April. 🚀 See more stats on how developers are using our models → goo.gle/4dlBiol 📊via @BusinessInsider

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Prompt@engineerrprompt·
Yesterday I released the 'preview' of LocalGPT v2, and its already trending on Github Its an opinionated implementation of private RAG powered by local models via @ollama and @huggingface. Give it a ⭐️ on @github (🙏🙏) Watch the video in next post to learn how it was built...
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Prompt@engineerrprompt·
@1littlecoder I tried your prompt with hyperframes framework and the results are pretty interesting.
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1LittleCoder💻@1littlecoder·
😱 Holy Molly! Claude Design just zero-shotted this Motion Graphics-esque Slide pack! I repeat - only from a single prompt! Prompt: "Create a sprite-based animation that gives all the details about OpenAI's GPT 5.5 models. Mix abstract animations using circles of various sizes as celestial bodies with text-based animation. Use a monochrome, helvetica palette."
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Prompt@engineerrprompt·
"Infinite context window" coming to claude code...
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Prompt@engineerrprompt·
Really interesting release from Mistral. Good to see a relatively big dense model. These are hard to come by these days, most labs have moved to mixture-of-experts at this scale. Context window is 256k, which is on the smaller end compared to recent releases pushing 1M plus, but probably fine for most document processing and reasoning workloads. Curious how it holds up on long-context and coding tasks against the MoE flagships.
Mistral Vibe@mistralvibe

Mistral Medium 3.5, a new flagship model in public preview by @MistralAI that merges instruction-following, reasoning, and coding into a single 128B dense model with a 256k context window and configurable reasoning effort. It's a new default model for Mistral Vibe and Le Chat. Released as open weights, under a modified MIT license.

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