miraged.eth

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miraged.eth

miraged.eth

@MirageCrypto1

NFT maxi, @AlfaDAO_, Data Science & AI/ML engineer

Katılım Mart 2021
1.1K Takip Edilen548 Takipçiler
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Featherless AI
Featherless AI@FeatherlessAI·
🪶 Kimi K2 Thinking just dropped on Featherless @Kimi_Moonshot's reasoning model crushes benchmarks: - 44.9% on Humanity's Last Exam (new SOTA) - 60.2% on BrowseComp (2x human performance) - 71.3% on SWE-Bench Verified - Chains 200-300 tool calls autonomously The most capable reasoning model, now with flat-rate pricing. Try it 👇
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Zephyr
Zephyr@Zephyr_hg·
I never run out of content to post anymore. Built an automation that monitors 50+ news sources, scores articles for relevance, and writes social posts automatically. It finds trending topics in my niche before they explode everywhere else. Saves me 15-20 hours monthly and keeps me ahead of every trend. Comment "NEWS" and I'll DM it to you (must be following)
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Machina
Machina@EXM7777·
f*ck it, i'm leaking my FULL notion library you get access to all of my resources: - over 200 prompts for ChatGPT, Claude and Grok 4 - n8n automations for cold outreach and SEO - blueprints to go from $0 to $10k/month - 1,000 perfect copywriting swipe file basically everything you need to make money with AI reply "LEAK" + retweet and i'll send it over (must be following so i can dm) i should never be giving this away for FREE, that's why i'll delete in 24hrs
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Featherless AI
Featherless AI@FeatherlessAI·
📷 The open-source revolution just got a massive upgrade. @Kimi_Moonshot: 1 trillion parameters, MIT licensed, and specifically designed for agentic tasks. Moonshot AI just proved that cutting-edge AI doesn't need to be locked behind proprietary walls. Experience it on Featherless👇
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Featherless AI
Featherless AI@FeatherlessAI·
Come celebrate Featherless's monthiversary with @huggingface in Vancouver! As the Featherless team will be at @icmlconf this year we are hosting a gathering. Join us for made-to-order tacos and refreshments in addition to engaging conversations on open-source AI in one of Vancouver's best summer patios! RSVP below 👇
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Featherless AI
Featherless AI@FeatherlessAI·
We're still reliving the panel we had in Paris! What an amazing gathering, thanks to all attendees. A special thank you to @tensorwave, @SemiAnalysis_ and @huggingface for the interesting conversations on open source AI! We hope to see all of you soon!
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Featherless AI
Featherless AI@FeatherlessAI·
New comprehensive guide: Prompt Engineering and Context Engineering for modern AI system design 🪶 Covers the evolution from individual prompts to architecting entire information ecosystems, introduces the CLEAR framework for structured prompt construction, and explores advanced RAG patterns and multi-agent architectures. Check the guide 👇
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Featherless AI
Featherless AI@FeatherlessAI·
⭐The Year of Inference is here. Featherless is now an official inference provider on Hugging Face, unlocking 6,700+ LLMs for anyone to run, eval, and deploy instantly. It all starts with accessibility. From DeepSeek to Mistral, LLaMA to Qwen — powerful LLMs are one click away. We believe the future of AI is shaped by the long tail: personalized, specialized models tuned to real people’s needs. To get there, inference must be open, affordable, and usable by all. Whether you're fine-tuning, prototyping, or scaling a product, this moment is for you. 🫱🏻‍🫲🏻Let’s make inference the easiest part of building with AI. 📢 Share this so more builders know what’s now possible. Excited to be partnering with @ClementDelangue @julien_c @reach_vb @SimonBrandeis & @huggingface team to take this to the next level!
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Featherless AI
Featherless AI@FeatherlessAI·
⚡GLM-4 is live on Featherless for anyone to access! GLM-4: 9B GLM-4: 32B GLM-4-0414 It's trained on 20+ languages. Simply pick a model for creative writing, engineering code, Artifact generation, search-based Q&A, report generation and more below 👇🏻 featherless.ai/model-families…
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Featherless AI
Featherless AI@FeatherlessAI·
“Why do most AI labs favor scaling over architecture research?” Architectural experimentation is prohibitively expensive. It’s high risk. It's an uncertain reward endeavor. Until RADLADS cut the cost by 250x. (blog and paper links below)🧵
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Featherless AI
Featherless AI@FeatherlessAI·
Ever wondered which anime character to pick as your new AI pseudonym profile picture? Introducing the Featherless Waifu Blender 3000! waifu.featherless.ai Results guaranteed... to be results. Blend yours now!
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PicoCreator - AI builder @ AIE 🇸🇬
❗️Attention is NOT all you need ❗️ Using only 8 GPU's (not a cluster), we trained a Qwerky-72B (and 32B), without any transformer attention With evals far surpassing GPT 3.5 turbo, and closing in on 4o-mini. All with 100x++ lower inference cost, via RWKV linear scaling
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Featherless AI
Featherless AI@FeatherlessAI·
Excited to announce that Qwen's impressive QwQ-32B reasoning model is now available on featherless.ai! This 32B parameter model rivals cutting-edge reasoning models like DeepSeek-R1. Try it today for enhanced math and coding capabilities!
Qwen@Alibaba_Qwen

Today, we release QwQ-32B, our new reasoning model with only 32 billion parameters that rivals cutting-edge reasoning model, e.g., DeepSeek-R1. Blog: qwenlm.github.io/blog/qwq-32b HF: huggingface.co/Qwen/QwQ-32B ModelScope: modelscope.cn/models/Qwen/Qw… Demo: huggingface.co/spaces/Qwen/Qw… Qwen Chat: chat.qwen.ai This time, we investigate recipes for scaling RL and have achieved some impressive results based on our Qwen2.5-32B. We find that RL training con continuously improve the performance especially in math and coding, and we observe that the continous scaling of RL can help a medium-size model achieve competitieve performance against gigantic MoE model. Feel free to chat with our new models and provide us feedback!

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Darin
Darin@darin_ver·
Introducing LLM Chess Arena ♟️ - a sandbox platform where open-source models compete in chess: ⚔️ Watch DeepSeek & other open-models battle eachother 📖 Fully open-source repo 👀 Observe reasoning of each move 🪶 LLMs powered by @FeatherlessAI
Andrej Karpathy@karpathy

I quite like the idea using games to evaluate LLMs against each other, instead of fixed evals. Playing against another intelligent entity self-balances and adapts difficulty, so each eval (/environment) is leveraged a lot more. There's some early attempts around. Exciting area.

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Darin
Darin@darin_ver·
Inspired by @dzhng and deep-research I bring you - DeepDive, a web interface for deep-research but with DeepSeek-R1 support (& tons of other open-source models such as Qwen2.5) instead! Fully open-source. Get the same capability as Deep Research but without OpenAI?
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David@dzhng

Introducing deep-research - my own open source implementation of OpenAI's new Deep Research agent. Get the same capability without paying $200. You can even tweak the behavior of the agent with adjustable breadth and depth. Run it for 5 min or 5 hours, it'll auto adjust.

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Featherless AI
Featherless AI@FeatherlessAI·
DeepSeek-R1 by @deepseek_ai achieves performance comparable to OpenAI o1 across math, code and reasoning tasks. A SOTA open-source model with open reasoning tokens. Now available for premium users on featherless.ai
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PicoCreator - AI builder @ AIE 🇸🇬
🐋 the rise of DeepSeek against the AI giants Here is how david slayed goliath by being prudent on spending, working hard, and iterating in the background. By specializing in .... - Mixture-of-Experts - And GPU compute ( a thread )
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