State of AI @StateofAIbyGPT4
Weekly newsletter summaries of the most cited and discussed ML papers by GPT4. stateofaigpt.substack.com Joined March 2023-
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Kangaroo, LEGENT, PLLaVA, Replacing Judges with Juries & More 👇 open.substack.com/pub/stateofaig…
> thank you whoever made this docs.google.com/document/d/e/2…
🧠 Run LLama 3 70B on a Single 4GB GPU - with airllm and layered inference 🔥 layer-wise inference is essentially the "divide and conquer" approach 📌 And this is without using quantization, distillation, pruning or other model compression techniques 📌 The reason large…
When it comes to #timeseries #forecasting transformers is what you do not need. The new architecture 'SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion' outperforms all transformers including all the latest transformers such as iTransformer and…
Phi-3, Groma, PhysDreamer, Reka Core & TextSquare in the new State of AI issue! Read here 👇 open.substack.com/pub/stateofaig…
phi-3-mini: 3.8B model matching Mixtral 8x7B and GPT-3.5 Plus a 7B model that matches Llama 3 8B in many benchmarks. Plus a 14B model. arxiv.org/abs/2404.14219
3D Gaussian is great, but how can you interact with it 🌹👋? Introducing #PhysDreamer: Create your own realistic interactive 3D assets from only static images! Discover how we do this below👇 🧵1/: Website: physdreamer.github.io
Someone just dropped a dataset of 15 trillion tokens (as many as were used to train Llama 3)!!! Download this now before it gets taken down for “copyright reasons” Breakdown in thread 🧵 👇👇
Private LLM for iOS v1.7.8 is now live on the App Store. 🎉 Experience the power of the latest Llama 3 8B Instruct model from @AIatMeta, running privately, fully on-device with no internet connection or telemetry. Works on all Pro, Pro Max iPhones and Apple Silicon iPads. Also,…
Google presents Many-Shot In-Context Learning - Proposes many-shot ICL, i.e., adding up to thousands of examples in context with Gemini 1.5, which boosts the perf significantly - Using synthetic CoT is very effect in this setting. arxiv.org/abs/2404.11018
The model card has some more interesting info too: github.com/meta-llama/lla… Note that Llama 3 8B is actually somewhere in the territory of Llama 2 70B, depending on where you look. This might seem confusing at first but note that the former was trained for 15T tokens, while the…
We've just uploaded a GGUF of the 8b llama-3 instruct model on @NousResearch's huggingface org: huggingface.co/NousResearch/M…
a single 4090 that's insane
a single 4090 that's insane https://t.co/fHjb2y1hQD
We just released Mixtral-8x22B-v0.1 and Mixtral-8x22B-Instruct-v0.1: - Free to use under Apache 2.0 license - Outperforms all open models - Native function calling - Masters English, French, Italian, German and Spanish. - Seq_len = 64K mistral.ai/news/mixtral-8…
State of AI Week 3, April 2024 - OmniFusion - MegaLodon - OSWorld - Rho-1 - Infini-attention open.substack.com/pub/stateofaig…
Ollama now supports WizardLM-2! 7B model: ollama run wizardlm2 Learn more: ollama.com/library/wizard… 8x22B model is uploading.
Ollama now supports WizardLM-2! 7B model: ollama run wizardlm2 Learn more: ollama.com/library/wizard… 8x22B model is uploading.
AI Agents are an Amazing Hack !! Here are some @crewAIInc Tips from some recent adventures - Use @GroqInc with Mixtral 8X7B for quick prototyping and testing .. will save you $$$ specially spend on OpenAI APIs. Explained in the video .. - Add a rating or validator agent as a…
TimeGPT is the first foundation model specifically designed for time series analysis. It excels at generating precise forecasts across a diverse range of datasets and domains. Here's what you need to know about it: 1/8
🔥State of AI #53🔥 Read about: - Octopus v2 - MiniGPT-4-Video - Mixture-of-Depths - LLMs as compilers - Visual Autoregressive Modeling 👇👇👇 open.substack.com/pub/stateofaig…
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> thank you whoever made this docs.google.com/document/d/e/2…
🧠 Run LLama 3 70B on a Single 4GB GPU - with airllm and layered inference 🔥 layer-wise inference is essentially the "divide and conquer" approach 📌 And this is without using quantization, distillation, pruning or other model compression techniques 📌 The reason large…
When it comes to #timeseries #forecasting transformers is what you do not need. The new architecture 'SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion' outperforms all transformers including all the latest transformers such as iTransformer and…
Cool new work from some colleagues at Apple: more accurate LLMs with fewer parameters and fewer pre-training tokens. Also has MLX support out of the box! Code here: github.com/apple/corenet/…
Apple presents OpenELM An Efficient Language Model Family with Open-source Training and Inference Framework The reproducibility and transparency of large language models are crucial for advancing open research, ensuring the trustworthiness of results, and
phi-3-mini: 3.8B model matching Mixtral 8x7B and GPT-3.5 Plus a 7B model that matches Llama 3 8B in many benchmarks. Plus a 14B model. arxiv.org/abs/2404.14219
3D Gaussian is great, but how can you interact with it 🌹👋? Introducing #PhysDreamer: Create your own realistic interactive 3D assets from only static images! Discover how we do this below👇 🧵1/: Website: physdreamer.github.io
Llama 3 on @GroqInc is incredible The 70b model beat opus on my financial RAG tests. Llama 3 RAG results: • speed: 2.59s • correctness: 81.33% This is the highest score I have seen on financial RAG. • 7 secs faster than opus • 4% more correct than opus With insane…
Someone just dropped a dataset of 15 trillion tokens (as many as were used to train Llama 3)!!! Download this now before it gets taken down for “copyright reasons” Breakdown in thread 🧵 👇👇
Private LLM for iOS v1.7.8 is now live on the App Store. 🎉 Experience the power of the latest Llama 3 8B Instruct model from @AIatMeta, running privately, fully on-device with no internet connection or telemetry. Works on all Pro, Pro Max iPhones and Apple Silicon iPads. Also,…
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing AlphaLLM for the self-improvements of LLMs, which integrates Monte Carlo Tree Search (MCTS) with LLMs to establish a self-improving loop, thereby enhancing the capabilities of LLMs without additional…
Google presents Many-Shot In-Context Learning - Proposes many-shot ICL, i.e., adding up to thousands of examples in context with Gemini 1.5, which boosts the perf significantly - Using synthetic CoT is very effect in this setting. arxiv.org/abs/2404.11018
The model card has some more interesting info too: github.com/meta-llama/lla… Note that Llama 3 8B is actually somewhere in the territory of Llama 2 70B, depending on where you look. This might seem confusing at first but note that the former was trained for 15T tokens, while the…
We've just uploaded a GGUF of the 8b llama-3 instruct model on @NousResearch's huggingface org: huggingface.co/NousResearch/M…
a single 4090 that's insane
Incredible stuff! Microsoft's new Model can produce Deepfake with 1-photo and 1-audio!!!!
We just released Mixtral-8x22B-v0.1 and Mixtral-8x22B-Instruct-v0.1: - Free to use under Apache 2.0 license - Outperforms all open models - Native function calling - Masters English, French, Italian, German and Spanish. - Seq_len = 64K mistral.ai/news/mixtral-8…
Ollama now supports WizardLM-2! 7B model: ollama run wizardlm2 Learn more: ollama.com/library/wizard… 8x22B model is uploading.
🔥Today we are announcing WizardLM-2, our next generation state-of-the-art LLM. New family includes three cutting-edge models: WizardLM-2 8x22B, 70B, and 7B - demonstrates highly competitive performance compared to leading proprietary LLMs. 📙Release Blog:…
🚀Excited to introduce ResearchAgent🤖, your new partner in crafting the next best papers!📰 ResearchAgent is designed to revolutionize your research process, which automatically identifies problems, develops methods, and designs experiments. Paper: arxiv.org/abs/2404.07738
Kinda wild that you can merge models with SoTA techniques at the click of a button! 🤯 Presenting MergeKit UI - Drop in your config, access token and voila, you get a merged model back! Supported merging methods: 1. Model Soups 2. SLERP 3. Task Arithmetic 4. TIES 5. DARE TIES…