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I put Stable Diffusion 3 through its paces with a handful of prompts using @FireworksAI_HQ It creates compelling images, gets text right most of the time and can sometimes fall into an uncanny valley. tomsguide.com/ai/ai-image-vi…
Between the two top managed Llama 3 70b providers (@togethercompute & @FireworksAI_HQ), Fireworks is miles ahead for inference. They consistently deliver sub-500ms full completions, while Together has average latencies in the seconds with tail latency >15s.
The OpenAI provider for the Vercel AI SDK v0.0.7 supports object generation and streaming for @FireworksAI_HQ Here are examples that use firefunction-v1:
Looking to explore the capabilities of Stable Diffusion 3? @FireworksAI_HQ has added UI playgrounds for Stable Diffusion 3 and Stable Diffusion 3 Turbo, using your Stability AI API key. You can get started here: fireworks.ai/models/stabili…
Llama 3 8b and 70b now available for fine tuning. Fireworks lets you deploy 100 fine tuned models for fast, serverless inference at 0 extra cost! Get started here 👇 readme.fireworks.ai/docs/fine-tuni…
Suprising, In my testing @FireworksAI_HQ is almost as fast as @GroqInc ! Groq is still faster 1.28s vs 1.42s for fireworks, but I doubt they build their own chip
I updated Siri LLama so it can run LLaVA on any image + support any model on both @ollama and @FireworksAI_HQ AI. who wants an ai pin now?
I updated Siri LLama so it can run LLaVA on any image + support any model on both @ollama and @FireworksAI_HQ AI. who wants an ai pin now? https://t.co/JF859r7vpx
Optimizing LLM inference is complicated - what's your $- & latency budget? - what is your input / output token ratio? - are prompts repetitive or unique? - what hardware do you have? @lqiao explains the many trade-offs @FireworksAI_HQ manages for enterprise clients 🔗👇
One key optimization strategy is sharding In this clip, co-founder @divchenko outlines the 3 main kinds of sharding Lots more detail in the full episode: cognitiverevolution.ai/ai-inference-g…
Dialoqbase v1.8.0 has been released with huge improvements and features. Here is an example using the llama3 model via .@FireworksAI_HQ API to chat on a GitHub repo. Powered by @LangChainAI
hackathon time: @MongoDB with support of @FireworksAI_HQ, @upstageai, and @llama_index in SF let‘s see what I can learn 🧵 — it will be a long day: 9:30am breakfast and planned finish at 10pm
GenAI Hackathon by @MongoDB with @Karissa_Wood_ @seldo @FireworksAI_HQ @echojuliett @upstageai It was great!
Blazing fast function calling by @FireworksAI_HQ ⚡️ This is the fastest function calling ive seen, exceptional work by @lqiao and team. This video is not sped up. code: github.com/phidatahq/phid…
🚀 Today’s the day!!!! In just three hours I’ll be kicking off the 4/20 @MongoDB GenAI Hackathon in San Francisco. Will I see you there?! 👋 I hope so! 😃 #mongodbatlas #vectorsearch
#StabilityAI announced the availability of Stable Diffusion 3 and Stable Diffusion 3 Turbo on the Stability AI Developer Platform API. Partnering with @FireworksAI_HQ for the fastest, most reliable service. #OpenAI with model weights coming soon for members. #stablediffusion3
Stable Diffusion 3 and the faster SD3 Turbo are hosted by @FireworksAI_HQ and available at SD3 poe.com/StableDiffusio…, and SD3-Turbo poe.com/SD3-Turbo, and across all Poe apps. We look forward to seeing what you create! (2/2)
New: Stable Diffusion 3 is on Poe! SD3 is the latest image generation model from Stability, and it is especially good at typography and prompt accuracy. It understands complex prompts, supports multiple languages, and has improved spelling over SDXL. (1/2)
And with this, it's now available in LangSmith playground @FireworksAI_HQ is speedy :) smith.langchain.com
And with this, it's now available in LangSmith playground @FireworksAI_HQ is speedy :) smith.langchain.com
Esma BEN HABIB @EBen_habib
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9K Followers 2K Following Founder & CEO @ryzlabs maker of @hiptrainfitness @offsiteio & others. Made stuff @Amazon Created @Ring Drone @Washiofavorites & @Caliburritoco #BitcoinKeith Einstein @keith_einstein
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4 Followers 93 FollowingPavel M @PavelM99102890
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74 Followers 1K Following เข้าร่วมกับฉันและเชื่อมต่อกันผ่านโซเชียลมีเดีย อย่าลืมติดตามฉัน ฉันจะอัปเดตข้อมูลการติดต่อของฉันในหน้าแรกC. ₿ryan🧧 @Clinton_G_Bryan
658 Followers 5K Following 👑 Husband & Father | 🥷🏾Combat Vet | 🌎 Traveler | 🔮 Serial Entrepreneur | 🔬 Inventor | 📚 Career Life Student | 👽 Sentient Being 🧧| 📖 Published Author.Semdex @Semdex5
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1K Followers 476 Following 法人向け生成AI導入支援|SNSマーケティング支援|法人アカウント実績→TikTokは6ヶ月で5.2万フォロワーに|Instagramは3ヶ月で美容室への予約を月1,400件に|Xでは9ヶ月で5,000フォロワー増やし、採用の問い合わせ数を月20件に|YouTubeは登録者11人で問い合わせ1件獲得|趣味は仕事とサウナAryan Gupta @AryanGOfficial
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47K Followers 862 Following Simplifying the concepts of Python, LLMs, Machine Learning & Data Science! • ML Developer Advocate @clarifai • Data Scientist • Building with AIMatt Apperson @mattapperson
2K Followers 1K Following Software Engineer hyper focused on LLM's @FireworksAI_HQ | ex @zillow, @coinbase, and @elastic | husband & father | JW | 3D printing | ADHDMongoDB @MongoDB
470K Followers 6K Following A developer data platform for developers to do their best work. #LoveYourDevelopersPietro Schirano @skirano
34K Followers 709 Following Founder @everartai. 🎨✨ Previously, led AI at @brexHQ. @Uber, @Facebook, and @OpenTable.Greg Kamradt @GregKamradt
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750 Followers 892 Following will find you what you need, if you'll open source what you make. https://t.co/2oSl5wHhuT if you need computeAutoGen @pyautogen
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10K Followers 970 Following I work on PyTorch at Meta. Chatty alt at @difficultyang. Mastodon @[email protected]Here's a nice reference architecture for building a multi-data source code assistant🪄: 1. Read in web pages with our web page reader 2. Read in supplementary files with LlamaParse 3. Read in full @github repositories with our github reader 4. Do semantic chunking with our…
Streamlining knowledge work with LlamaParse, Fireworks, and MongoDB! Check out this neat project and blog post from Team CLAB, winners of our recent hackathon, that creates a full-stack documentation bot that uses ✅ LlamaIndex to parse and orchestrate ✅ Nomic embeddings via…
@DavidHuie @togethercompute @FireworksAI_HQ I run a bunch of inferences across providers. Here is my past 30 days of data on time-to-first-token, which is a good proxy of responsiveness.
I put Stable Diffusion 3 through its paces with a handful of prompts using @FireworksAI_HQ It creates compelling images, gets text right most of the time and can sometimes fall into an uncanny valley. tomsguide.com/ai/ai-image-vi…
🚀 Version 1.0.0 of our @OpenAI #scala client is out! - New @AnthropicAI client, and support for top LLM providers - @GroqInc , @OctoAICloud, @FireworksAI_HQ (e.g #Llama3) - Over 50 examples Check GitHub for details! #LLM @Cequence_io 🎉⬇️ github.com/cequence-io/op…
@burkov If your fine-tune is a LoRA we can run it serverless on @FireworksAI_HQ (pay per token only). If it’s a full fine tune - I think your options are limited to pay-per-second readme.fireworks.ai/docs/model-upl…
What is the fastest paid inference API for a finetuned Mistral 7B? I have a finetuned Mistral 7B and want to run inference in the cloud without having to manage resource provisioning myself. Is it Fireworks, Together, or something else?
Between the two top managed Llama 3 70b providers (@togethercompute & @FireworksAI_HQ), Fireworks is miles ahead for inference. They consistently deliver sub-500ms full completions, while Together has average latencies in the seconds with tail latency >15s.
The OpenAI provider for the Vercel AI SDK v0.0.7 supports object generation and streaming for @FireworksAI_HQ Here are examples that use firefunction-v1:
Looking to explore the capabilities of Stable Diffusion 3? @FireworksAI_HQ has added UI playgrounds for Stable Diffusion 3 and Stable Diffusion 3 Turbo, using your Stability AI API key. You can get started here: fireworks.ai/models/stabili…
Suprising, In my testing @FireworksAI_HQ is almost as fast as @GroqInc ! Groq is still faster 1.28s vs 1.42s for fireworks, but I doubt they build their own chip
Super happy to learn that the winner of the @MongoDB hackathon with @llama_index and @FireworksAI_HQ in SF is using the full stack LLM from @upstageai, including LA, embeddings, and #solarLLM. 😊 lu.ma/MongoDB-GenAI-… Congratulations to the AI Nutrition Assistant team:…
I updated Siri LLama so it can run LLaVA on any image + support any model on both @ollama and @FireworksAI_HQ AI. who wants an ai pin now?
I integrated locally running mistral with Siri, far better than standard Siri. no more "Here's what I found" Thanks to @ollama for making this possible! GitHub: github.com/0ssamaak0/Siri…
One key optimization strategy is sharding In this clip, co-founder @divchenko outlines the 3 main kinds of sharding Lots more detail in the full episode: cognitiverevolution.ai/ai-inference-g…
Optimizing LLM inference is complicated - what's your $- & latency budget? - what is your input / output token ratio? - are prompts repetitive or unique? - what hardware do you have? @lqiao explains the many trade-offs @FireworksAI_HQ manages for enterprise clients 🔗👇
Dialoqbase v1.8.0 has been released with huge improvements and features. Here is an example using the llama3 model via .@FireworksAI_HQ API to chat on a GitHub repo. Powered by @LangChainAI
GenAI Hackathon by @MongoDB with @Karissa_Wood_ @seldo @FireworksAI_HQ @echojuliett @upstageai It was great!
what is @FireworksAI_HQ: running your models (potentially fine-tuned) with a focus on speed, quality, and reliability OpenAI compatible API so it should be an easy switch
Full house @MongoDB @upstageai @FireworksAI_HQ @llama_index
Blazing fast function calling by @FireworksAI_HQ ⚡️ This is the fastest function calling ive seen, exceptional work by @lqiao and team. This video is not sped up. code: github.com/phidatahq/phid…
hackathon time: @MongoDB with support of @FireworksAI_HQ, @upstageai, and @llama_index in SF let‘s see what I can learn 🧵 — it will be a long day: 9:30am breakfast and planned finish at 10pm