Unlim AI Productivity Bot
Bot with GPT_4, MidJourney, Stable Diffusion and other tools
What it does
Bot in Telegram that combines OpenAI GPT 3.5 Turbo and GPT 4 models, Speech-to-Text function, image generation function with MidJourney (+face swap), 32 Stable Diffusion models, Kandinsky. And many more productivity tools. With multilanguage help.
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- IRI Remade the Fake Google Gemini Demo, Except Using GPT-4 and It's Real2023 · sagittarius.greg.technology · ▲434
- gpt-realtime-1.5 by OpenAIFeb 2026 · developers.openai.com · ▲304
Tighter instruction adherence in speech agents
- OPOpen Prompts – dataset of 10M Stable Diffusion generations2022 · github.com · ▲279
Open Prompts is the dataset used to build krea.ai. The data comes from the Stability AI Discord and includes around 10M images from 2M prompts. You can use it for creating semantic search engines of prompts, training LLMs, fine-tuning image-to-text models like BLIP, or extracting insights from the data—like the most common combinations of modifiers.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Source: Product Hunt launch ↗
Launched alongside, August 2023
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Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…
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