Phi-2: Microsoft's Smallest But MOST Powerful LLM With ONLY 2.7B In Size!

Welcome to a linguistic journey like no other! In this video, we unravel the marvels of Phi-2, the 2.7 billion-parameter language model from Microsoft's Machine Learning Foundations team. Discover the surprising power of small language models and how Phi-2 is reshaping the landscape. 🚀
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[Link's Used]:
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Try it out: azure.microsoft.com/en-ca
Explore the depths of language understanding, witness breakthroughs in reasoning, and grasp the innovations behind Phi-2's compact size. Get ready to embark on an adventure that will redefine your perception of language models. 🌐
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[@intheworldofai]

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Love y'all and have an amazing day fellas.☕ To help and Support me, Buy a Coffee or Donate to Support the Channel: ko-fi.com/worldofai - Thank you so much guys! Love yall

[@pokerandphilosophy8328]

At the rate things are going, within one year I expect there to be a one single 2-bit parameter model that will thrash GPT-5.

[@alan_yong]

🎯 Key Takeaways for quick navigation:
00:00 🚀 *Introduction to Phi-2*
- Phi-2 is Microsoft's smallest language model, standing at 2.7 billion parameters.
- Outperforms Google's Gemini Nano and Mistral's 7 billion parameter model in benchmarks.
- Demonstrates state-of-the-art performance and efficiency in understanding, reasoning, and language tasks.
01:10 🧠 *F2's Performance Comparison*
- F2 successfully identifies errors in a test, showcasing its ability to pinpoint mistakes.
- Acknowledgment of potential fairness issues in comparing F2 to Gemini due to different test formats.
- Despite not being fine-tuned for specific tasks, F2 excels in answering questions, demonstrating its efficiency.
02:31 🌐 *F2's Capabilities and Development*
- F2, developed by Microsoft, is an efficient and effective model suitable for mobile devices.
- Remarkable features and capabilities demonstrated throughout the video exploration.
- Development involved strategic choices in model scaling and training data curation.
03:43 🔄 *Evolution of Microsoft's Language Models*
- Microsoft's language models evolution: from 51 to 1.5 and now to the smallest, Phi-2 (2.7 billion parameters).
- Performance comparable to models much larger in size, showcasing advancements in scaling techniques.
- Focus on quality training data and innovative scaling techniques for model development.
06:58 🎓 *F2's Training Details*
- F2, a Transformer-based model, underwent training on 1.4 trillion tokens with a next-word prediction objective.
- Trained for 14 days, utilizing 96,800 GPUs, without alignment through reinforcement learning or instructive fine-tuning.
- Safety scores on toxicity and bias show improved behavior compared to other open-source models.
09:22 📊 *F2's Evaluation Across Benchmarks*
- F2 excels in various benchmarks, including tasks related to reasoning, understanding, mathematics, and coding.
- Outperforms larger models (e.g., Mistral, Llama 2) up to 25 times its size.
- Example: F2 successfully outputs a solution to a physics problem involving multiple steps in mathematics.
11:13 🌍 *Accessing Phi-2 and Conclusion*
- F2 is accessible on Microsoft Azure, providing a powerful tool for users.
- Continuous improvement in developing efficient and effective models with smaller parameter sizes.
- Video concludes with calls to action for viewers to access the model and engage with the AI community.
Made with HARPA AI

[@rosemarysalem]

Great breakdown of the model! Very helpful

[@itlackey1920]

Not posted to HF yet? Hopefully they post it soon. It would suck if it was locked into Azure

[@jeffg4686]

Nice!

[@01xKeven]

How do I prove it

[@intheworldofai]

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[@intheworldofai]

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TaskWeaver: Create LLM-Based Autonomous AI Agents - AutoGen 2.0!? (Installation Tutorial): th-cam.com/video/JS7p3_c9s18/w-d-xo.htmlsi=WYTFHtAigQ3tg9L8
Mixtral 8x7B: New Mistral Model IS INSANE! 8x BETTER Than Before - Beats GPT-4/Llama 2: th-cam.com/video/53yhw2UMAiM/w-d-xo.htmlsi=Mh71kn9q8kXwNMUD
LibreChat: All-In-One AI Platform - Integrate LLMs, Plugins, and AI Models For FREE!: th-cam.com/video/0BRnK5BGZHU/w-d-xo.htmlsi=TtEtl3iuOR49Vd5D

[@nothing_is_real_0000]

I'm just waiting for open-source version of phi2

[@mlyw7918]

Open source ??😂 with msft ?! 😂

[@itlackey1920]

@@mlyw7918 phi1 and and phi1.5 are posted to HF. Hopefully this will be too

[@subhankarbaral9236]

Phi-2 is now available in hugging face.

[@AffluentTales]

It's already available on Hugging face to install locally on your PC. Is there something I am missing? I think it's already Open source and free for all.

[@intheworldofai]

AnythingLLM: Fully LOCAL Chat With Docs (PDF, TXT, HTML, PPTX, DOCX, and more): th-cam.com/video/NuZ0n0LPZ5E/w-d-xo.html

[@intheworldofai]

BIG LEAK: GPT-4.5 Coming This Week!? - th-cam.com/video/3t8JHJsSPVY/w-d-xo.html

[@toshobg]

how to use it with LM Studio or GPT4All ?

[@ItzJustSamu]

LM Studio usually has the model days after it releases

[@CybermindForge]

That's interesting, Basically a cheat code for scaling.

[@intheworldofai]

Found the model card: huggingface.co/SkunkworksAI/phi-2

[@intheworldofai]

Writes API Calls BETTER Than ChatGPT 4?! Better than Gorilla LLM! th-cam.com/video/RILVWH_9f2A/w-d-xo.html