DuckDuckGo’s Post

“DuckDuckGo AI Chat is an anonymous way to access popular AI chatbots – currently, Open AI's GPT 3.5 Turbo, Anthropic's Claude 3 Haiku, and two open-source models (Meta Llama 3 and Mistral's Mixtral 8x7B), with more to come. This optional feature is free to use within a daily limit, and can easily be switched off… When you land on the AI Chat page, you can pick your chat model – currently, OpenAI’s GPT 3.5 Turbo, Anthropic’s latest generation Claude 3 Haiku, and open-source options Mixtral 8x7B and Meta Llama 3 – and start using it just like any other chat interface. Just like searches on DuckDuckGo, all chats are completely anonymous: they cannot be traced back to any one individual. To accomplish that technically, we call the underlying chat models on your behalf, removing your IP address completely and using our IP address instead. This way it looks like the requests are coming from us and not you. Within AI Chat, you can use the Fire Button to clear the chat and start over. In addition, DuckDuckGo does not save or store any chats. To respond with answers and ensure all systems are working, the underlying model providers may store chats temporarily, but there’s no way for them to tie chats back to you, personally, since all metadata is removed. (Even if you enter your name or other personal information into the chat, the model providers have no way of knowing who typed it in – you, or someone else.) We have agreements in place with all model providers to ensure that any saved chats are completely deleted by the providers within 30 days, and that none of the chats made on our platform can be used to train or improve the models.”

Take DuckDuckGo AI Chat for a spin! 😁 It is: - free - private - separate from Private Search And provides the ability to have conversations with LLMs without your input being used for training. Current LLM list: - Open AI's GPT 3.5 Turbo, - Anthropic's Claude 3 Haiku, - Meta Llama 3 (open source), - Mistral's Mixtral 8x7B (open source) Note that you can also opt to switch it off. Direct access: duck.ai

This where Emersa comes in. With Multi AI agents systems and Gamified training and customer services run by an advanced AI. https://lnkd.in/eX6kfCiH

These Character AI Alternatives Made Chatbot Interaction Even More Friendly https://lnkd.in/gBZ8feEm

#DuckDuckGo_AI_Chat: anonymous access to popular #AI #chatbots #DuckDuckGo_AI_Chat is an anonymous way to access popular AI chatbots – currently, #OpenAI's #GPT_3point5_Turbo, #Anthropic's #Claude_3_Haiku, and two open-source models (#Meta #Llama_3 and #Mistral's #Mixtral_8x7B), with more to come. This optional feature is free to use within a daily limit, and can easily be switched off. https://lnkd.in/gXC6gz7v

Exciting times in AI! We've just covered Grok by X and its impact on AI chatbots, especially compared to ChatGPT. Join the discussion! #Innovation #GrokVsChatGPT

5 reasons why I prefer Perplexity over every other AI chatbot: https://ift.tt/LZWQxEp

🌟 Explore the future of AI! Our latest blog, released on January 1st, delves deep into the clash between Google's Gemini and OpenAI's ChatGPT. 🔥 Uncover the strengths, weaknesses, and potential impact of these generative AI models shaping our world. Don't miss out - subscribe to Blogs45 for the full scoop straight to your inbox! 📥 #AI #GenerativeAI #Gemini #ChatGPT #TechClash Blog: https://lnkd.in/gA3nVE8m

Who will emerge victorious in the battle of AI bots? 🤖💥 Copilot, ChatGPT, Gemini — which one reigns supreme? Join the debate as we explore the landscape of generative AI chatbots! https://lnkd.in/gsR3bUYc #AI #Chatbots #TechBattle #Copilot #ChatGPT #Gemini

At this point in the life of AI chatbots, we know that they can't necessarily be trusted. They CAN be helpful, but we're not at the point where we can take everything chatbots say at face value. We need to fact-check what AI bots tell us if we want to be sure they're giving us correct information. However, RAG, or retrieval-augmented generation, might change this. RAG differs from LLMs in a few key ways. One major difference is "Instead of offering a response rooted only in how the model was trained, RAG retrieves additional data provided to it by the person or organization implementing RAG... and incorporates it into its reply," writes Matthew Smith. While RAG isn't perfect, it's definitely a clearer path to better, smarter, and more accurate generative AI. #RetrievalAugmentedGeneration #AIRAG #AIChatbot