Integrering av AI-modell Jobs

The project centres on building a Retrieval-Augmented Generation (RAG) chatbot that surfaces clear, accurate information from publicly available documents and keeps its answers current with real-time data updates. The conversational layer should feel natural to end-users while pulling the freshest possible facts the moment they ask. What the finished solution needs to do • Ingest a corpus of public documents—PDFs, web pages, data feeds or similar—and index them for semantic search. • Retrieve the most relevant passages at run-time, feed them into an LLM, and stream answers back to the user in plain language, always citing the source material. • Detect when underlying documents change and automatically refresh the index so responses never go stale. •...

Embodied AI Engineer — Unitree R1 EDU My Unitree R1 EDU is already running on an NVIDIA Orin NX. I need an engineer to build the software bridge that allows the robot to listen, understand, see and physically act through natural voice interaction. Target Pipeline Microphone → STT (local Whisper preferred / OpenAI Speech API acceptable) → ChatGPT Function Calling → ROS 2 → Unitree SDK2 → Robot Target Behaviour * Understand commands such as “raise your hand”, “dance”, “wave”, “turn around” * Use RGB/depth cameras to answer questions about the environment * Return answers through voice * Target response time of a few seconds * At least 5 different physical actions triggered by voice Technical Requirements * ...

1. Build a complete scenario processing outputs from Google Gemini AI. 2. Parse and map Gemini text content into an HTTP API Module directed to ElevenLabs. 3. Configure a custom Data Structure inside the HTTP module to properly format JSON payloads and escape special characters/newlines. 4. Integrate the 'eleven_multilingual_v2' model for text-to-speech audio generation. 5. Implement proper Error Handling and end-to-end QA to ensure system stability. Please include your total price, estimated timeframe, and relevant portfolio/examples of similar Make & AI projects.

1. Build a complete scenario processing outputs from Google Gemini AI. 2. Parse and map Gemini text content into an HTTP API Module directed to ElevenLabs. 3. Configure a custom Data Structure inside the HTTP module to properly format JSON payloads and escape special characters/newlines. 4. Integrate the 'eleven_multilingual_v2' model for text-to-speech audio generation. 5. Implement proper Error Handling and end-to-end QA to ensure system stability. Please include your total price, estimated timeframe, and relevant portfolio/examples of similar Make & AI projects.

Vennligst Registrer deg eller Logg inn for å se detaljer.