NLP Cloud @cloud_nlp
NLP Cloud is a privacy-focused OpenAI alternative. Either use our pre-trained generative AI models through a simple API or fine-tune and deploy your own models. nlpcloud.com New-York, USA Joined January 2021-
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⌚️AI Navigation: Add AI Models: hugging Face 、civitai 、replicate 、gradio 、 kaggle 、NLP Cloud 、 streamlit We can finally take a break.
🇫🇷 Article : Panorama de l’IA française 🇫🇷 13 IA françaises à connaître absolument : Mistral AI, Giskard, NLP Cloud… 📍 Souveraineté, performance, innovation 🔗 Découvrez les pépites made in France : blog.ig-conseils.com/intelligence-a… #IA #FrenchTech #MistralAI
Anthropic made a nice article about how they have implemented web search in Claude using a multi-agent system: anthropic.com/engineering/bu… I do recommend this article if you are building an agentic application because it gives you some ideas about how your system could be…
Are you deploying your own LLMs in production? We have created an article that summarizes all cutting-edge inference optimization techniques you can implement in 2025: nlpcloud.com/llm-inference-… Please do not hesitate to reach out if you have questions about LLM deployment!
There has been a backlash against Cursor over the last couple of days. It seems that the Cursor support system is 100% based on AI, and it clearly gave very bad answers to users who could not log into Cursor because of a bug, leading to many customers cancelling their…
Google TPUs have been around for quite some time now, and I've rarely seen any company seriously use them in production... At NLP Cloud we used TPUs at some point behind our training and fine-tuning platform. But they were tricky to set up and not necessarily faster than NVIDIA…
Google TPUs have been around for quite some time now, and I've rarely seen any company seriously use them in production... At NLP Cloud we used TPUs at some point behind our training and fine-tuning platform. But they were tricky to set up and not necessarily faster than NVIDIA…
Are you building an AI stack and working on inference optimization? We just made an article about gen AI inference engines where we compare TensorRT-LLM by @NVIDIAAI, vLLM by @UCBerkeley vs Hugging Face TGI by @huggingface vs LMDeploy: nlpcloud.com/genai-inferenc… Hope it's useful!
NLP Cloud is proud to be named in the 2024 Gartner® Innovation Guide For Generative AI Technologies! Thank you to all our clients for using the NLP Cloud API in their generative AI applications!
We have considerably improved our sentiment analysis API. From now on you can use advanced models like LLaMA 405B for sentiment and emotion analysis, and specify which target the analysis should apply to (a person, a company, a concept...)! Try it here: nlpcloud.com/home/playgroun…
Pretty cool! 🔥 #LiteLLM is an open-source #Python library that lets you call 100+ different LLMs using the same input/output format. 📦Repo: github.com/BerriAI/litellm You can use LLMs from these providers, and more: - @AI21Labs - @awscloud's Sagemaker - @Azure - @cloud_nlp…
Our LLaMA 3 70B and LLaMA 3.1 405B models now support a much larger input size: 128k tokens!
Looking to deploy LLaMA 3.1 405B? Here is a tutorial we made about deploying a quantized version of LLaMA 3.1 405B on @googlecloud compute engine, using @vllm_project : nlpcloud.com/installing-dep… And of course you can also use our LLaMA 3.1 405B API too!
LLaMA 3.1 405B is now available on NLP Cloud! We now propose a production-ready version of this cutting-edge powerful AI model. The cost is the same as Fine-tuned LLaMA 3 70B: $0.0018 per 1K tokens! You can easily try it on our Playground here: nlpcloud.com/home/playgroun… #AI #LLM
How to build a social media sentiment analysis pipeline? We show in this article how to achieve that on Reddit with #Go, #FastAPI, KWatch, and NLP Cloud: kwatch.io/how-to-build-a… If you have questions please don't hesitate to ask! #AI #socialnetwork #DigitalMarketing #Reddit
A powerful Sentence Transformers v3 has been released by @tomaarsen! So we made a tutorial about creating your own semantic search model based on Sentence Transformers and use it in a RAG system for question answering and chatbots: nlpcloud.com/fine-tuning-se…… Hope you'll like it!
Wow this is powerful. Grok is able to accurately give me the last closing price of a stock option, and correctly explain the reason for this price. Congrats @grok team, your RAG capabilities are very impressive and useful, Grok will be my exclusive personal assistant from now on…
Would you like to deploy your own LLaMA 3 model into production? Deploying LLaMA 3 8B is fairly easy but LLaMA 3 70B is another beast... Here is a tutorial showing how to deploy #Llama3 with @vllm_project on @awscloud EC2: nlpcloud.com/how-to-install… Hope it's useful! #LLM #AI
Curious about the best open-source alternatives to OpenAI in 2024? Here is a walk-through of the best models: LLaMA 2 by Meta, Mixtral 8x7B by @MistralAI, Yi 34B by @01AI_Yi, and DBRX by @databricks . nlpcloud.com/chatgpt-open-s… #ai #GenerativeAI #OpenAI #llama #dbrx #mixtral
We muscled up our fine-tuning plans !🏋️ From now on, the advanced fine-tuning plan includes 20 parallel requests (vs 10 before) and supports 16k contexts (vs 2k before). The basic fine-tuning plan now includes 5 parallel requests (vs 1 before). #GenerativeAI #LLMs #AI
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