Cool idea, but seems to suffer from a lack of good prompt engineering? #138
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Hi, the query is first passed to an agent that understands the question or the query and decides wether there is a need to search the web or not. Sometimes it won't work perfectly and no context is passed to the answer generation chain which then hallucinates the answer. At the end of the day it just predicts stuff but we'll eventually fix it. |
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This was in the past. Different models react differently. Also the recent version the prompts are updated. I use custom prompts though. Response 06.02.25 OpenAI's Latest Model Release: o3-miniOpenAI has recently unveiled a new addition to its AI model series, the o3-mini. This launch comes on the heels of the DeepSeek R1 release, which made waves in the AI community just weeks prior.[1][2] The o3-Mini ModelThe o3-mini is designed with efficiency and cost-effectiveness in mind.[1] It belongs to OpenAI's "reasoning" model series,[1][11] a family of models that prioritize thoughtful responses[4] and complex task reasoning.[3] This approach sets it apart from traditional AI models, which often focus on speed rather than thoroughness. Key Features
Availability and AccessThe o3-mini is currently available for ChatGPT Enterprise and Edu users,[10] while developers can access it through the API with certain usage limits in place.[10] OpenAI plans to increase these limits after additional testing.[10] ConclusionOpenAI's latest model, o3-mini, demonstrates the company's commitment to pushing the boundaries of AI technology. By focusing on reasoning capabilities and cost efficiency, OpenAI aims to make advanced AI more accessible and competitive in an increasingly crowded market. Citations: |
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I role-played as a "normie" for my first test query and search gave me the wrong answer. Now I distrust every successive answer by default. This is an unfortunate problem for most, if not all, AI tools.
I have had an OpenAI subscription for quite some time and have access to gpt4 turbo and o models. Did I miss something or is there no config for which model is being used?
As a technical individual, I'm digging the tech stack being used and the ease of self-hosting with docker though. Very slick.
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