You will get Custom LLM Chatbot | Document Query | OpenAI Models OR Open Source Models
Project details
Key Project Components:
1) Custom LLM Model Usage: Leverage state-of-the-art Language Models to enhance the intelligence and natural language understanding of the chatbot.
2) Model Fine Tuning: Tailor the model to suit specific project requirements, ensuring optimal performance and relevance.
3) Chat Interface: Design an intuitive and user-friendly chat interface for seamless interaction between users and the chatbot.
4) Open AI Models Usage: Explore and integrate OpenAI models to augment the capabilities of the chatbot, pushing the boundaries of conversational AI.
5) Custom Embedding Usage: Implement custom embeddings to enhance the representation of textual data, enabling more accurate responses and understanding.
6) Retrieval QA Addon (Document Search): Integrate a powerful Document Search feature using Retrieval Question-Answering (QA) to provide users with precise information.
Note: As per request we can use open source models.
The demo video showcases the capabilities of the chatbot and highlights its potential to revolutionize user interactions.
1) Custom LLM Model Usage: Leverage state-of-the-art Language Models to enhance the intelligence and natural language understanding of the chatbot.
2) Model Fine Tuning: Tailor the model to suit specific project requirements, ensuring optimal performance and relevance.
3) Chat Interface: Design an intuitive and user-friendly chat interface for seamless interaction between users and the chatbot.
4) Open AI Models Usage: Explore and integrate OpenAI models to augment the capabilities of the chatbot, pushing the boundaries of conversational AI.
5) Custom Embedding Usage: Implement custom embeddings to enhance the representation of textual data, enabling more accurate responses and understanding.
6) Retrieval QA Addon (Document Search): Integrate a powerful Document Search feature using Retrieval Question-Answering (QA) to provide users with precise information.
Note: As per request we can use open source models.
The demo video showcases the capabilities of the chatbot and highlights its potential to revolutionize user interactions.
Project Type
Data Analysis, Development, IT, QAWhat's included
| Service Tiers |
Starter
$100
|
Standard
$250
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 7 days | 7 days | 7 days |
Number of Revisions | 0 | 1 | 2 |
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HE
Husam E.
Feb 20, 2026
Academic Researcher Needed for Machine Learning Project
It was pleasure working wifh Muhammad.
NN
Nadiah N.
Dec 2, 2025
Research Manuscript Revision Specialist (Machine Learning)
NN
Nadiah N.
Nov 16, 2025
Research Manuscript Revision Specialist (Machine Learning)
PP
Philipp P.
Mar 4, 2025
You will get Machine Learning Research Paper, Reports
PB
Peter B.
Jul 20, 2024
Academic writing/essay on a topic related to AI/LLM.
Very good job on the project.
About Muhammad
AI | Machine learning | RAG | LangChain | Deep Learning | Open Claw
100%
Job Success
Lahore, Pakistan - 9:38 am local time
I design and deploy production-ready OpenClaw clawbot AI agents with custom skills, multi-channel integrations, and secure self-hosted setups to automate real business workflows end-to-end.
ML Stack -- Machine Learning, NLP, Image Processing, Statistical Reports, NLTK, Gensim, SpaCy, FastText, word2vec, MUSE, Whisper, Whisper v3, Transformers, Diffusion Models, Graph Neural Networks, Hugging Face, Hugging Face Hub, Sentence Transformers, AutoML.
Computer Vision Stack: OpenCV, TensorFlow, Keras, DeepFace, YOLO, YOLOv8, YOLO-NAS, Vision Transformers (ViT), SAM (Segment Anything Model), Stable Diffusion.
Database Stack -- Vector Databases (Pinecone, Weaviate, PgVector, ChromaDB, Milvus, Qdrant, Weaviate, Azure Search, Azure AI Search, Azure DB, Chroma, FAISS ), Semantic Search, Hybrid Search, Embeddings, Multimodal Embeddings.
LLM's -- GPT-4o, GPT-4.1, GPT-4 Turbo, GPT3.5/4, Llama 2, Llama 3, Llama 3.1, Mistral, Mixtral, Claude 3, Gemini. Cloud Code
RAGs, Agents (Langchain, LangGraph, LlamaIndex, OpenAI Assistants API, Tool Calling, Function Calling)
Key Skills:
✔️ GPT Apps development using Python, Langchain, LangGraph, LLM (ChatGPT / GPT 4 / GPT-4o / HuggingFace models), VectorStores (Pinecone, Weaviate, FAISS, Qdrant, ChromaDB, …)
✔️ Automation and integration using ChatGPT API, OpenAI Assistants API, Tool Calling.
✔️ Python solutions using ChatGPT API, Whisper API, GPT 4 model, GPT-4o, and other OpenAI API services.
✔️ Integrating OpenAI's ChatGPT, GPT 4, GPT-4o API to take user prompts.
✔️ Prompt Engineer with great experience in designing various problems for various AI Use cases, System Prompts, Agent Prompts, and Chain-of-Thought optimization.
Recent Project stack
📝 Text Simplification with tokenized BART for accessibility
🌐 Knowledge Graph-Based Question Answering with Graph RAG
🗣️ Voice Recognition in German using Flask, BERT, Whisper
🤖 Enhanced Chatbot with question-answering techniques, RAG, and Agent-based workflows
📊 Multimodal AI Apps (Text + Image + Audio)
🔍 Semantic & Hybrid Search Applications
Expertise in NLP and AI Development:
🌟 LLM Agents (Web, APIs, Databases, Tools, Browsers)
🤖 GPT Apps development using Python, Langchain, LangGraph, and HuggingFace models
🌐 Automation and integration using ChatGPT API, OpenAI Assistants, Tool Calling
🔧 Troubleshooting and optimization of existing chatbot and RAG solutions
✔️ Expert in LLMs (GPT 4, GPT-4o, OpenAI Assistants, ChatGPT)
🛠️ Creative Python API Integration, AI Pipelines, and AI Product Development
clawbot, open claw integration
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Agreement On Price & Features
We mutually agree on a price and the features needed in the final project.