AI Personal Assistant Development
Budget: $750 – $1,500 USD
I want to build a conversational personal assistant whose single mission is fast, accurate information retrieval for general-knowledge queries. No calendars, no task lists—just a lightweight, reliable engine that listens to a natural-language question, finds the best answer, and returns it with a clear citation.
Here is the picture I have in mind. A compact LLM (e.g., Llama 3, Mistral, or whatever stack you recommend) sits behind an RAG pipeline that searches trusted public sources, ranks passages, and feeds only the most relevant snippets back to the model. The response should arrive in under five seconds and include at least one hyperlink or reference so the user can verify the claim.
Deliverables
• Source-controlled code for the model, retrieval layer, and a simple web or API front end
• A short setup guide so I can run everything locally or on a modest cloud instance
• Demo video or notebook showing the system answer a 100-question benchmark, hitting 80 % accuracy within the time cap
Acceptance criteria
• Natural-language queries answered with concise text plus at least one verifiable citation
• Average latency ≤ 5 s per query on the benchmark set
• Clean, well-documented code I can extend later
If you have experience fine-tuning LLMs, building semantic search, or deploying RAG systems, share a brief example when you reply and include your estimated timeline.
I need some back in black belts to help me create new modules for my AI project Michael AI.AI I want to be able to connect a smart devices all media similar to DIRECTV all Video integration all music integration all in one finally the world has been waiting for they were police, the rest of the nation and the world to make sure the other AI engines don’t destroy all of humanity. I need someone that’s really good at crime jobs with a major experience at least 10 years full stat bed of the bone don’t waste my time. This is the chance of a lifetime unbelievable bonuses. Imagine how many trillions of dollars this project will be worth when we complete this. I will reward you so handsomely you won’t even believe it.
Here is the picture I have in mind. A compact LLM (e.g., Llama 3, Mistral, or whatever stack you recommend) sits behind an RAG pipeline that searches trusted public sources, ranks passages, and feeds only the most relevant snippets back to the model. The response should arrive in under five seconds and include at least one hyperlink or reference so the user can verify the claim.
Deliverables
• Source-controlled code for the model, retrieval layer, and a simple web or API front end
• A short setup guide so I can run everything locally or on a modest cloud instance
• Demo video or notebook showing the system answer a 100-question benchmark, hitting 80 % accuracy within the time cap
Acceptance criteria
• Natural-language queries answered with concise text plus at least one verifiable citation
• Average latency ≤ 5 s per query on the benchmark set
• Clean, well-documented code I can extend later
If you have experience fine-tuning LLMs, building semantic search, or deploying RAG systems, share a brief example when you reply and include your estimated timeline.
I need some back in black belts to help me create new modules for my AI project Michael AI.AI I want to be able to connect a smart devices all media similar to DIRECTV all Video integration all music integration all in one finally the world has been waiting for they were police, the rest of the nation and the world to make sure the other AI engines don’t destroy all of humanity. I need someone that’s really good at crime jobs with a major experience at least 10 years full stat bed of the bone don’t waste my time. This is the chance of a lifetime unbelievable bonuses. Imagine how many trillions of dollars this project will be worth when we complete this. I will reward you so handsomely you won’t even believe it.