We are moving beyond running local MCPs and are trying to map out a broader strategy - for internal as well as external consumption. I am curious how others are balancing business vision with technical reality.Specifically:* Commercialization & ROI: Executives view MCP servers as a new revenue stream (upselling like premium APIs). Is this realistic, or do MCPs eventually replace high-level...
https://xplained.vercel.app/ask?q=Nvidia%20Blackwell
Additional details on vRAM and spec: https://xplained.vercel.app/ask?q=Nvidia%20Blackwell%20vRAM%...
https://xplained.vercel.app/ask?q=Why%20Agni%20missiles%20ar...
AI explains the update
In what ways wrapper apps built around LLMs such as GPTs or offer RAG based chatbots can provide significant value to a user?For e.g., xplained.vercel.app that I made as a perplexity.ai styled clone that does RAG on web search.
It's currently free to use. Its built using nextjs+tailwind and is powered by Vercel + Brave + Gemini Pro. https://xplained.vercel.app
There are other projects that I worked on as part of my job, mostly around bots, search, classification, and analytics.
A few weeks ago, I created Xplained, an AI-based answering engine that uses web data and LLM to provide responses (like perplexity). I am planning to sell my hobby project on Acquire.com and could use your advice.
What are your experiences with selling projects? How did you determine the valuation, pitch to buyers, and ensure a smooth sale process?
I'm looking for practical tips and insights to navigate this transition effectively.
Appreciate your guidance!
Also, UI can be improved for mobile.
GPT Assistants readily offer this, with options to customize.
Still early days on this I guess, but any observations that can help improve the hit rates?
On the cost side, you could try Gemini Pro, currently free with usage limitations. But since the content is saved, it should be fine.
How are you sourcing news and deciding what news to keep? Search engine or some kind of feedback? Would like more details here.
Its just a quick POC made in a day. I am still working on integrating a backend and optimizing the queries. Also, it currently uses free APIs with small usage limits. Plan to upgrade soon.
https://xplained.vercel.app/ask
Hello HN community,I would like to introduce Xplained, an AI tool designed for quickly understanding topics using simpler explanations.It harnesses web search results to provide quick insights, aiming to enhance understanding in a short content format with images (like Perplexity). It's ideal for quickly grasping the basics of a concept or getting a quick intro on new topics.I believe it can be...
The results are good, and improve the output quality significantly. Small manual QC and tweaks further improve the responses.
Share your success stories and lessons learned, especially from a B2B perspective. Any tools that you anticipate will make a big impact in 2024?
Here are some examples: https://opensea.io/assets/matic/0x2953399124f0cbb46d2cbacd8a...
https://opensea.io/assets/matic/0x2953399124f0cbb46d2cbacd8a...
https://opensea.io/assets/ethereum/0x495f947276749ce646f68ac...
Reranking also provide a significant improvement to the response quality.
Another way to improve results for domain specific RAG systems is to use some heuristics to boost results. E.g., penalize results that contain certain negative keywords or boost results with certain patterns.
For RAG, given the limited context size and potential hallucinations, best prompt + best data will provide you with best response.
Prompts can be improved greatly to get the LLM to throw a good response with reduced hallucinations. A lot of techniques are seen on Twitter and can be explored to find a good fit.
I improve my prompts using a GPT assistant that significantly improve the response quality. https://chat.openai.com/g/g-haH111AXX-prompt-optimizer