Prompt @engineerrprompt
Creator of localGPT | Building something cool! Generative AI, Tech, Arts, Life! youtube.com/@engineerprompt Joined July 2023-
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SLMs like Phi-3-mini are great for small specific tasks but are also great candidates for fine-tuning on your own datasets. Thanks to @UnslothAI, fine-tuning Phi-3-mini is really easy. Learn how to get started here: youtu.be/U5jU4YJodJo
Llama-3 8B with 1M Context. Can anyone run the benchmarks on it?
Phi-3-mini is a great model for its size but how good is it at RAG, query routing and agentic use? I put it to test in this video: youtu.be/_4hFNzY1iMA
Want to build an AI powered application but don't know where to start? Checkout this session. We will cover dataset creation, finetuning, and deployment of the model so the rest of the world can interact with your creation.
Want to build an AI powered application but don't know where to start? Checkout this session. We will cover dataset creation, finetuning, and deployment of the model so the rest of the world can interact with your creation.
Llama3 out of the box is more compliant with prompts compared to its predecessors. In this video I wanted to explore how uncensored the model is. Testing it via @GroqInc, @Meta and @perplexity_ai youtu.be/9oYGb6t-ybw
Groq API is the fastest inference speed on the market. The fabulous tutorial by @engineerrprompt explains how to get started with LLAMA-3 using the Groq API in your own applications. hubs.la/Q02tRZb40
LLAMA3 from @AIatMeta on @GroqInc is insanely fast. 800 tokens/sec on 8B and ~300 tokens/sec for 70B. Best part, you can use their API for free. Here is how to get started youtu.be/ySwJT3Z1MFI
AI stocks are the new meme stocks......
What's better than LLAMA3? Your own finetuned LLAMA3. Learn how to get started with finetuning using @UnslothAI (one of the best options if you are GPU poor like me :) ) youtu.be/aQmoog_s8HE
First look at llama3, really impressive beyond the benchmarks, the only thing I was hoping was more than 8k context and that 400B version looks on part with Claude Opus youtu.be/b2MPvE1OyHg
We got LLAMA-3!!!!
That was quick! The instruct version of Mixtral 8x22B from @MistralAI looks amazing.
That was quick! The instruct version of Mixtral 8x22B from @MistralAI looks amazing.
I tested the new Mixtral MoE from @MistralAI. For a base model, it's really impressive. Here is the video: youtu.be/VwbBBcvsWZM
If you are building RAG pipelines, you need to checkout ColBERTv2 (by @lateinteraction) as possible replacement to Dense Embeddings. RAGatouille by @bclavie is the easiest way to get started. Learn how to use it in @LangChainAI and @llama_index youtu.be/kEgeegk9iqo
OpenAI is finally open 😅
Apparently, @MistralAI just forgot to release the Mistral-7B-v0.2 Base when they released the instruct version!!!
Apparently, @MistralAI just forgot to release the Mistral-7B-v0.2 Base when they released the instruct version!!!
Priyam kakati @Priyamkakati46
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dolphin-2.9-mixtral-8x22b is released! Compute sponsored by @CrusoeEnergy Trained by myself, @LucasAtkins7, @FernandoNetoAi FFT using Laser Scanner to selectively target 50% of the layers. Uncensored models obey! You are responsible for anything you generate with it.
Phi-3 notebook out! Finetune Phi 2x faster and use 50% less VRAM than HF+FA2 with @UnslothAI! Had to Mistral-fy it due to sliding window attention, & fixed the 2048/2047 SWA bug. Also unfused Attention & MLP, so some diff in QLoRA loss but 16bit the same. colab.research.google.com/drive/1NvkBmkH…
New ORPO Colab for Llama-3 8b is out! ORPO combines SFT & DPO into 1 step, so no more 2 step approach! Plus with @UnslothAI, finetuning is 2x faster, uses 80% less VRAM & 4x longer contexts are possible! Thanks to oKatanaaa & At&Dev for making this work! colab.research.google.com/drive/11t4njE3…
I published my filtered and uncensored dataset for Dolphin-2.9 on @huggingface so if you wanna make your own spin on Dolphin, or just see how Dolphin is created, you can check it out. Thanks to all the upstream dataset creators for open source data! huggingface.co/datasets/cogni…
Unsloth has surpassed 500K+ monthly model downloads on @huggingface! 🥳 🦥 Thanks for the support! 🩷 See our collection of 4bit models + more: huggingface.co/unsloth
New 🤖 agents video out using LangGraph (@LangChainAI) powered by Llama3 70B on @GroqInc to make an Email Agent youtu.be/lvQ96Ssesfk
A reminder that no one knows what they're doing in deep learning and why things work and that the best we can do is pray for our models to perform 🤣
Mozilla published a nice writeup on how llamafile helped them evaluate the quality of AI models and quantization formats. The writeup goes into detail on the code, costs, and has a heartwarming story on some history with the local LLaMA community. blog.mozilla.ai/local-llm-as-j…
It's been a week since LLaMA 3 dropped. In that time, we've: - extended context from 8K -> 128K - trained multiple ridiculously performant fine-tunes - got inference working at 800+ tokens/second If Meta keeps releasing OSS models, closed providers won't be able to compete.
🦙 Have you fine-tuned Llama 3 and built an end-to-end prototype yet? Come May 1 to see the entire end-to-end process with @huggingface tools! Our friend @engineerrprompt will join us for the walkthrough and Q&A! lu.ma/llmappshf
@winglian @Orwelian84 You can set RoPE config values under Advanced Configuration > Model Initialization:
The nice thing about having access to the weights is you can do things like this to the model. Otherwise would be limited to whatever the provider gives you… not to mention being able to add other capabilities to the model (multimodal)
. @GroqInc really is moving in the direction that we want for creating Agents. I admire that they are not getting into the game of making their own models, but optimizing others out there and making them super fast. Fast tokens opens up a whole new world of possibilities
Check out this great tutorial from @Sam_Witteveen on combining LLama3 70B + CrewAI with the speed of running on Groq to make an AI Agent for replying to emails. hubs.la/Q02tPrx60
Finetuning the latest phi3 model on a macbook? Why not! Check out my latest blog post which explains how you can finetune phi-3 on a macbook pro: huggingface.co/blog/abhishek/…
@unclecode @GroqInc @JonathanRoss321 @engineerrprompt @MervinPraison Great work! Keep it coming.
Snowflake casually dropping SoTA model with Apache 2.0 license! "Truly Open: Apache 2.0 license provides ungated access to weights and code. In addition, we are also open sourcing all of our data recipes and research insights." I mean, seriously? 🥹
First Congressperson to visit a student anti-war encampment: @IlhanMN.