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Airtrain AI
United States
เข้าร่วมเมื่อ 3 ต.ค. 2023
Support Airtrain AI on ProductHunt: www.producthunt.com/products/airtrain-ai-llm-playground
Airtrain is a no-code compute platform for language models. On this channel we take a look at interesting facts coming out of the language space.
Airtrain is a no-code compute platform for language models. On this channel we take a look at interesting facts coming out of the language space.
LMSYS Chatbot Arena Kaggle Challenge Dataset Explorer
LMSYS Chatbot Arena Kaggle Challenge Dataset Explorer
มุมมอง: 216
วีดีโอ
Airtrain AI LLM Playground demo
มุมมอง 50K7 หลายเดือนก่อน
Prompt up to 19 models at once and compare quality, cost, and throughput with the Airtrain LLM Playground. Get started for free at airtrain.ai
Claude 3 Opus initial vibe check - riddles, calculus, JSON extraction
มุมมอง 2038 หลายเดือนก่อน
In this video we take a first look at Claude 3 Opus. #anthropic #claude #chatgpt #artificialintelligence
Unboxing Gemini Ultra 1.0 - Reasoning, Algebra, Calculus, JSON extraction
มุมมอง 1708 หลายเดือนก่อน
We take a look at the brand new Gemini Ultra model released by Google today. We do a vibe check of the model on reasoning, algebra, calculus, JSON extraction, and image generation. #artificialintelligence #gemini #geminiultra #openai #chatgpt
How to run Miqu in 5 minutes with vLLM, Runpod, and no code - Mistral leak
มุมมอง 2.7K9 หลายเดือนก่อน
In this video, I will show you how to run the leaked Mistral model Miqu in less than 5 minutes. #miqu #mistral #openai #artificialintelligence #ai #llm #vllm Container arguments: model 152334H/miqu-1-70b-sf dtype float16 tensor-parallel-size 2 max-model-len 8192 Model on HuggingFace - huggingface.co/152334H/miqu-1-70b-sf Tool to size hardware - huggingface.co/spaces/Vokturz/can-it-run-llm Runpo...
"Open-Source AI is Uniquely Dangerous" - Policy Recommendations from AI Ethics Researcher
มุมมอง 2.3K9 หลายเดือนก่อน
In this video we take a look at this article [1] by an AI Ethics researcher claiming that open-source AI is uniquely dangerous. The author makes a number of policy recommendations that are pretty insane. [1] spectrum.ieee.org/open-source-ai-2666932122 Check us out at airtrain.ai #artificialintelligence #regulations #llama #chatgpt #openai #opensource #largelanguagemodels 0:00 Intro 0:39 IEEE 1:...
Free LLM playground | Claude 3, Gemma, Llama 2, Phi-2, Mistral, GPT-4, Gemini | Airtrain.ai
มุมมอง 29K9 หลายเดือนก่อน
We are launching on ProductHunt today Wednesday, March 13 - support our launch: www.producthunt.com/posts/airtrain-ai-llm-playground This is a quick demo video for Airtrain.ai's new LLM playground. Interact with open-source and proprietary models such as Llama 2, Phi-2, Mistral 7B, Mixtral, GPT-4, and Gemini Pro. Sign up for free at airtrain.ai Join our Slack at join.slack.com/t/airtrain-ai/sha...
Get started with Microsoft's Phi-2 on your laptop
มุมมอง 4.8K9 หลายเดือนก่อน
In this video we explore how to run phi-2 on a local dev box. We try the raw model and a DPO fine-tune from TheBloke. Raw model on HuggingFace - huggingface.co/microsoft/phi-2 DPO fine-tune by TheBloke - huggingface.co/TheBloke/phi-2-dpo-GGUF Llama.cpp - github.com/ggerganov/llama.cpp Airtrain.ai - airtrain.ai #microsoft #artificialintelligence #llms #phi2 #chatgpt #gpt4
TOP 10 moments of 2023 in AI
มุมมอง 11710 หลายเดือนก่อน
In this video, we recap the main events of 2023 in the world of AI. #openai #meta #microsoft #chatgpt #artificialintelligence #largelanguagemodels #llms #gpt4 #llama 0:00 - Intro 0:31 - 10 - Gemini's botched launch 1:14 - 9 - Databricks acquisition of MosaicML 1:47 - 8 - Mistral AI and Mistral 7B 2:47 - 7 - The rise of the local LLM community 3:21 - 6 - The Microsoft x OpenAI deal 3:52 - 5 - Th...
Google's Gemini: Breakthrough or Hype?
มุมมอง 31211 หลายเดือนก่อน
Google's Gemini: Breakthrough or Hype?
OpenAI vs. Open-source: After the Chaos, the New Deal
มุมมอง 18811 หลายเดือนก่อน
OpenAI vs. Open-source: After the Chaos, the New Deal
Can AI Models Evaluate Other Models? - LLM-assisted evaluation
มุมมอง 26711 หลายเดือนก่อน
Can AI Models Evaluate Other Models? - LLM-assisted evaluation
Free batch evaluation tool for LLM | Airtrain AI | Demo
มุมมอง 43911 หลายเดือนก่อน
Free batch evaluation tool for LLM | Airtrain AI | Demo
Sam Altman fired as OpenAI CEO. Good or bad for the AI industry?
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Sam Altman fired as OpenAI CEO. Good or bad for the AI industry?
Did OpenAI just kill thousands of startups!?
มุมมอง 2K11 หลายเดือนก่อน
Did OpenAI just kill thousands of startups!?
How to evaluate LLMs for your use case? [AI Engineer Summit talk]
มุมมอง 111ปีที่แล้ว
How to evaluate LLMs for your use case? [AI Engineer Summit talk]
Small Language Models: Same performance but cheaper?
มุมมอง 989ปีที่แล้ว
Small Language Models: Same performance but cheaper?
That was a very clear introduction. Thanks!!
224 Juliet Shores
th-cam.com/video/3crJNnAXd6w/w-d-xo.html
Most clear definition of quantization, thx!!!!
what kind of off-brand emojis are you using?
I did the entire process but it's saying phi-2 not found
Amazing content. Thank you so much. 1) Do I have to use float16 on exl2 model, is there a way to use int4? For example Dracones/Midnight-Miqu-70B-v1.0_exl2_2.24bpw can be loaded on a 24 GB VRAM card on RunPod running OobaBooga with 4Bit cache enabled. I'm surprised why vLLM needs so much memory. 2) How would you secure the API with a key?
Are this limited? like you need to buy credits? or free without words or character limit?
thanks for the video
Thank you so so much !! lifesaver. Exactly what I was looking for !! just one question, in vllm, we can use batch to maximize the inference speed, just wonder if we set it up as an endpoint, can we still use batch ? can you give me a little bit hint ? and again thank you for your video !!
how to use as API
We don't offer an API for this at this time.
getting same response everytime
Hmm, strange. Did you use the raw model or the DPO fine-tune?
@@AirtrainAI lm studio gguf
Leaked miqu before GTA6 💀💀
Looks quite expensive to run though
Yes, it is a fairly large model after all. Runpod is very handy to get started quickly, but you can find cheaper H100s elsewhere. See cloud-gpus.com/ for price comparisons.
RunPod Serverless is the way. Much cheaper.
Good content, keep it up!
Appreciate it! Please subscribe for more :)
It is indeed very easy to set up. I am also surprised that getting a H100 pod is also very fast. (despite that downloading image and model might not be that fast)
I'm not sure where Runpod get their supply.
Leaked Miqu in 5 minutes, that's so easy.
Indeed!
how is different from Ollama?
Ollama let's you run models on your own computer. This is web based. Some of the models offered here would not run on your computer because they are too large.
Super useful tool! It’s great to be able to play with closed source and open source models side by side.
Thanks josh, don't forget to join our Slack: join.slack.com/t/airtrain-ai/shared_invite/zt-252ipfh5j-ljAxJm4P0XCLAZXpOyKH1A
Thank you for the Video. Could you please help with the hardware requirements(CPU, GPU etc) to run Phi-2.
With only 2.7 billion parameters, Phi-2 is a small model. If we want to load its parameters as fp16 (no quantization), we need at least 5.4 GB (2 GB per billion fp16 parameters) of GPU VRAM. If you do not have this available, you can try one of the quantizations offered by TheBloke: huggingface.co/TheBloke/phi-2-GGUF/tree/main
Thank you for making this tutorial! It is very apprecaited. Can you recommend a good discord server to ask questions on topics related to this? Also, do you know if there is a way to send prompts via API? So I can make a PySimpleGUI UI for this?
Here are a few Discord/Slack servers: - LLMOps.Space discord.gg/aAxBAZYA - Airtrain Slack join.slack.com/t/airtrain-ai/shared_invite/zt-252ipfh5j-ljAxJm4P0XCLAZXpOyKH1A Regarding a Phi-2 API. I don't know one off the top of my head, but we might offer it soon on Airtrain.ai. Stay tuned.
Loved the clarity you bring
Thank you, don't forget to subscribe to the channel for more clarity :)
😇 'promo sm'
Great tool
Him: "She believes everything I say" Her in her mind: "He believes everything I say" 😂
The truth is that he shared his opinion about the current big military conflict somewhere in the world and he took the wrong side 😀
I think India is the reason
Can you say more about that?
i want to work with you. i fell like i will learn a lot.
In the digital realm where startups aspire, Airtrain AI emerges, a narrative to inquire. Did OpenAI's move send ripples and shakes? A poetic exploration of the startup landscape's stakes. In the algorithmic dance, where innovations bloom, Airtrain AI faces a potential gloom. Did OpenAI's steps alter the startup game, A poetic question, where consequences may claim? Thousands of dreams in the startup cascade, Did OpenAI's decision cast a sudden shade? In the digital landscape, where possibilities gleam, A poetic pondering, in the startup dream. Airtrain AI, in the tech's ballet, Did OpenAI alter the startup play? In the entrepreneurial sphere, where visions align, A poetic inquiry, where destinies entwine. So let the questions echo, in the digital rhyme, Did OpenAI's move alter the startup climb? In the startup saga, where dreams partake, A poetic exploration, in the startup's wake.
A bit ironic for these startup people to be worried when these AIs are already replacing various jobs at a high pace. I think it's pretty sad to watch all of this unfold, as most of the people who act excited about these technologies are the ones putting themselves in a position where they will try not to be affected. Not sure what to think about this revolution and the speed at which it is happening. Also am wondering what the finality/logic is, where is all that supposed to lead to ?
Great analysis, thanks
Thank you @Tokkowa. I'd be grateful if you subscribed to the channel for more AI analysis :)
Everyone should have anticipated this outcome.
Fair enough. I for one did not anticipate the GPT store and the move into the consumer space.
nice video very interesting
Glad you liked it!
Clear and easy to understand explanation. Nice video.
how can one use the downloaded model with langchain?
Langchain has an Ollama integration see python.langchain.com/docs/integrations/llms/ollama Same for Llama.cpp python.langchain.com/docs/integrations/llms/llamacpp
Thanks for the video.
Thank you for watching!