Fast, Accurate, Production-Ready AI Turn your unstructured data into perfectly optimized vector search indexes, purpose-built for Retrieval Augmented Generation
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My journey with GPT-4 as a novice programmer has been nothing short of remarkable. I used it to write a game, and despite my limited programming knowledge, I was astonished by the results.
It makes coding suggestions, completes my code, and even identifies bugs, which has been a game-changer for me. It feels like having a co-programmer who anticipates my needs and guides me in the right direction.
When I started using ChatGPT in november of 2022, it was very smart. I used it quite a lot to help me rephrase my emails better, to tidy up my writing, to do some simple math that I'm too lazy to do myself, etc. But recently I noticed that it has become less and less helpful, it does things that I specifically asked it NOT to do, it struggles to rephrase my texts the way I want it to, it makes mistakes in basic math and provides all sorts of incorrect information. Now it annoys me way more than it helps me.
ChatGPT is a powerful, open-source language model AI tool, very fastly response query to users.
Based on our record, ChatGPT seems to be a lot more popular than Vectorize.io. While we know about 815 links to ChatGPT, we've tracked only 2 mentions of Vectorize.io. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Vectorize.io is a platform that empowers organizations to harness the full potential of Retrieval Augmented Generation (RAG) and transform their search platforms. By bridging the gap between AI promise and production reality, Vectorize.io has enabled leading brands to revolutionize their search capabilities. With a focus on accuracy, speed, and ease of implementation, Vectorize.io has become a trusted partner for... - Source: dev.to / 22 days ago
Most of this can be done automatically using https://vectorize.io It generates synthetic questions, tests different embedding models, chunking strategies, etc. You end up with clear data that shows you what will give you the optimal results for your RAG app: https://platform.vectorize.io/public/experiments/ca60ce85-26a4-4646-b68f-612748338bb3. - Source: Hacker News / 23 days ago
By following these steps, developers can train ChatGPT on their own data. This will allow to give personalized, accurate, and domain-specific responses. Keep in mind that this process requires technical skills and can take more time than using no-code platforms. - Source: dev.to / 1 day ago
ChatGPT prompt: Act like a senior software developer mentor. Explain to me in the simplest way possible what javascript Symbols are, making very basic examples that DO NOT use "foo" "bar" words. Make small sentences and ask me often if I am able to understand. Thank you. - Source: dev.to / 1 day ago
AI and LLMs such as ChatGPT are amazing at what they do, but they suffer from the lack of "an opposable thumb", to use an analogy. This implies that as stand alone products, they can't really do much, if anything at all. - Source: dev.to / 6 days ago
Prompt Engineering is the art of instructing an LLM such as ChatGPT to do what you want it to do, using nothing but natural language, logic, and reason. The process is probably easily within reach of 80% of the world's population, while less than 0.3% of the world's population knows how to code. - Source: dev.to / 8 days ago
"ChatGPT" in this case means the frontends https://chat.openai.com and https://chatgpt.com, not the API. - Source: Hacker News / 11 days ago
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