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Hello, I want to make LLM model complete from scratch. Please contact if any experience developer available

Summary Python Developer – AI Chatbot Improvement & LLM Integration We're looking for an experienced Python Developer with strong expertise in AI, chatbots, and Large Language Models (LLMs) to join us on an ongoing basis, starting with an immediate chatbot improvement project. About the First Project We have an existing chatbot that needs refinement and enhancement. You'll be responsible for analyzing the current implementation, identifying bottlenecks and areas for improvement, and delivering a more robust, accurate, and user-friendly conversational experience. This includes optimizing prompt engineering, improving response quality, refining conversation flows, and ensuring reliable performance. What We're Looking For A developer who brings hands-on experienc...

Key requirements include: - Familiarity with LLM integration for code completion -Biology experience (Neuroscience and Immunology a plus) -Not too much coding and LLM experience required but asking for a learner that is good at organizing thoughts and data and taking initiative -Willingness to have live chats at least every couple of weeks in English Ideal skills and experience: - Strong background in R -Experience with mathematical modeling -Experience with biological research - Prior experience using language models for coding tasks

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...

RAG Engine Construction & Data Training Integration ​We have an existing n8n-based AI video automation system. The task is to develop the features listed below and ensure seamless integration with the current system. UI designs provided. ​Difficulty: Low / Estimated Time: 4–5 hours ​Scope: Review the existing design of the Google-based RAG engine for large document training. Modify and connect data pipelines to ensure seamless integration with downstream n8n workflows and UI/UX connections. ​[Mandatory Deliverable]: A Google Sheets-based manual including step-by-step screenshots, prompts, and configuration values (Video + Text). [Mandatory] tell me your portfolio related to this task. and Tell me price and timeline.

I’m building a retrieval-augmented generation (RAG) pipeline and need a specialist to stand up the vector database layer for my large-language-model workflow. All content going into the store will be purely textual—think markdown files, knowledge-base articles, and long-form documents—so the schema, chunking strategy, and embedding approach should be optimised for fast, accurate text search. Here’s what I’d like from you: • Recommend and deploy a production-ready vector database (Pinecone, Weaviate, Chroma, Milvus or a comparable option). • Design a text-specific embedding and metadata schema, including parameters such as chunk size, overlap, and namespace strategy. • Build ingestion scripts that batch-process my existing documents, generate em...

We already developed so finalize n8n video automation, fix remaining errors, complete YouTube v3 analytics logic in Google Sheets, implement Comet multi-SNS and email automation for about 20 platforms, develop a Chrome extension, integrate new AI models, configure Vision and FFmpeg, adjust system settings, integrate UI/UX, and connect everything to Supabase for payments and customer management, and we want your estimate of timeline, cost, and your n8n experience. We already developed so finalize n8n video automation, fix remaining errors, complete YouTube v3 analytics logic in Google Sheets, implement Comet multi-SNS and email automation for about 20 platforms, develop 5 Chrome extensions(like aito-whisk), integrate new AI models, configure Vision and FFmpeg, adjust system settings, integ...

Eu possuo um agente do GPT que filtra meus clientes, pedindo nome, número de viajantes, datas, idades e destino. Quero criar um segundo agente GPT (um agente de turismo) que recebe desse primeiro agente, faz a cotação da viagem pela API do meu fornecedor de turismo, traz a cotação em formato de texto e envia ao cliente, utilize as respostas rápidas do Fredy (plataforma para whatsapp com CRM onde recebemos as mensagens do whatsapp e respondemos os clientes) para envio de textos, áudios e imagens e vídeos para compor o orçamento e convencê-lo da compra. Após isso quero que faça follow up e atendimento até que o cliente queira contratar ou desista da compra. Quero ainda que ao decidir, ele peça os...