Mixtral työt

...assistant • Fast response (Groq API) 2. Deep Research Mode (Perplexity Style) • Live Web Search • Multi source results • Citations • Summaries Search APIs: • Brave Search API • Bing Web Search API 3. Advanced Code / Dev Mode • Frontend code (HTML, React, Flutter) • Backend code (Node.js, FastAPI) • API generation • Code debugging • Folder structure creation Coding Models: • DeepSeek Coder API • Groq Mixtral / LLama 3 4. Image Generation Mode • Stable Diffusion XL • Multiple styles • Prompt engine • Download/share option Image APIs • Self hosted Stable Diffusion XL • Or Replicate API 5. Image Analysis Mode • Describe image • Extract text • Convert image to prompt 6. V...

...script) — backend automation + Bubble frontend + Stripe payments. We need production-ready quality in 4–6 weeks for immediate beta launch and cash flow. Key Requirements Backend Automation (Python – Vercel/Google Cloud Run) Nightly cron (3–7 a.m. GMT, configurable to 2–4× daily) Secure pull from occupier sites (credentials-based login → briefs as JSON/CSV) Custom AI converter (Groq Llama-3 or Mixtral free tier, temperature=0) → structured search criteria from each brief Query premium APIs in priority order: • Searchland Property Data API (planning, ownership, constraints, SHLAA, expiries) • API (lease expiries, off-market signals, comparables) • HM Land Registry fallback for basics Merge results, fuzzy dedupe (90% ...

...third-party platforms like or similar). We already possess a massive, cleaned and anonymised conversation dataset (tens of millions of real messages) that the freelancer will have full access to. Stage 1 – Working Flirty Chatbot (must be delivered first) A complete, production-ready chatbot API that can hold long, engaging, flirty conversations Uses an open-source LLM (Llama 3.1, Mixtral, Mistral, etc. – you choose the best) Runs completely uncensored or minimally censored so it can maintain the desired playful/sexy tone without refusals System prompt + personality engine so we can switch between different bot characters (playful, dominant, shy, intellectual, etc.) Fast response time (<1.5 s) even under load Deployed on cloud or dedicated servers (you propose t...

...customer queries Extract orders/leads from chats Forward or summarize in dashboard 4. Social Media Inbox Management Facebook, Instagram, Telegram, X, LinkedIn AI sorts & flags messages auto-reply or CRM sync 5. Smart Calendar & Scheduling Google & Outlook Calendar integrations Auto-create events from messages Smart conflict resolution & reminders 6. AI Brain Use open-source LLMs (LLaMA 3, Mistral, Mixtral, etc.) Intent recognition, priority scoring, auto-classification RAG / LangChain pipelines 7. Client Dashboard Inbox with AI summaries Task list & auto-generated replies Custom automation builder (Zapier-like logic) 8. Subscription & User Management Razorpay integration Plans: Free trial, Basic, Pro User login, billing portal, usage stats Preferred...

Project Summary: We’re sourcing a React Native developer to build a mobile chat interface for a confidential AI knowledge assistant. The mobile app will interact with internal AI services securely, displaying responses from LLaMA 3 / Mixtral models. Scope / Responsibilities: Develop a cross-platform mobile app (iOS + Android) using React Native. Integrate API endpoints from our backend AI service. Optionally implement text-to-speech playback for chat responses. Ensure responsive design, smooth performance, and offline safety where applicable. Deliver clean, well-documented code ready for integration with Docker / Kubernetes backend. Requirements: Strong React Native experience. REST API integration experience. Experience with secure mobile apps and handling sensitive...

We’re sourcing a backend developer to wrap our confidential AI engines with a clean, secure API layer. This is part of our internal AI assistant project for handling sensitive knowledge — all data stays on-premises or within our private cloud. Scope / Responsibilities: Build FastAPI-based endpoints that forward requests to internal AI models (LLaMA 3, Mixtral). Implement JWT authentication with role-based access control, refresh tokens, and detailed request logging. Integrate with MongoDB (or Postgres if preferred) for user data, metrics, and audit logs. Create a small admin namespace for usage monitoring and basic maintenance tasks. Deliver Docker-ready code so the stack can be deployed on private Kubernetes or other private infrastructure. Requirements: Python ...

...retrieval-augmented-generation (RAG) assistant using sensitive internal knowledge. This is a sourcing / candidate search — we are currently exploring talent and not yet ready to deploy. The role (for sourcing purposes) We want to understand who has experience in: Building LangChain- or LlamaIndex-driven pipelines that index internal documents from scratch. Integrating open-source LLMs such as Llama 3 and Mixtral in a secure, on-premises environment. Designing data ingestion and embedding strategies for PDFs, slides, markdown, or other internal documents. Creating RAG pipelines with retrievers, optional re-rankers, and generation stages. Optimising for fast, accurate retrieval and maintaining strict data confidentiality. Key skills / experience we are looking for: Py...

...Objective: Automatically generate detailed User Stories from a plain-text project description using the GROQ API and an LLM (like GPT-4). Requirements: Add a new endpoint: POST /api/ai/generate-user-stories Input: Plain-text project description Output: A list of user stories in this format: css CopyEdit As a [role], I want to [action], so that [benefit]. Use GROQ + OpenAI model (GPT-4 or Mixtral) Store generated stories linked to a project (Optional) Create tasks automatically from stories Example Input: json CopyEdit { "projectDescription": "An ecommerce website where customers can browse products, add to cart, and make payments online. Admin should manage products and view orders." } Expected Output: json CopyEdit [ "As a customer,...

I need to deploy Mixtral 8x7B serverless on runpod or (different one as exceptional) 1. Run LLM server less on Runpod 2. Expose API that diff API can run 3. Full documentation and live call with explanation (must) ONLY experienced devs/devop etc

...polish; SOC‑2‑aligned security 6 weeks Launch & Support Code, CI/CD, 30‑page doc, 14‑day bug‑fix SLA 2 weeks 5. Tech Stack (Preferred—open to better ideas) UI: Flutter or React Native + React Web Backend: Python (FastAPI) or Node.js (NestJS) ASR: OpenAI Whisper / NVIDIA NeMo / custom wav2vec‑2 fine‑tunes Speaker Diarisation:  / Resemblyzer LLM Summaries: GPT‑4o, Claude 3 or Mixtral via prompt‑chain DB: PostgreSQL, Redis, S3‑compatible storage DevOps: Docker, Kubernetes, GitHub Actions 6. What to Include in Your Proposal Short project plan (phases, timeline, team allocation). Cost breakdown mapped to milestones. Live demos / repos of past ASR, diarisation, or voice‑AI work—preferably with Indian‑language exa...

I'm seeking a highly skilled AI Engineer with extensive experience in LLM RAG. You should have a proven track record and a portfolio of relevant projects. Key Responsibilities: - Model Development and Training - Data Preprocessing and Management - Deployment and Integration Ideal Skills and Experience: - Expertise in DistriBERT and Mixtral - Proven experience with various LLMs - Strong background in improving existing AI systems Your guidance is crucial for our project.

Zlecę instalację i pełną konfigurację serwera AI działającego w środowisku maszyny wirtualnej Proxmox na naszym serwerze. Poszuku...wykrywać niezadowolonych klientów, generować rekomendacje kontaktów i firm do współpracy, automatycznie planować zadania, przypomnienia i integrację z kalendarzem, tworzyć treści reklamowe i kampanie, monitorować konkurencję, klasyfikować dokumenty i załączniki, a także pełnić funkcję wirtualnego asystenta onboardingowego dla nowych użytkowników. Wymagania: instalacja odpowiedniego modelu AI (np. Mixtral, Llama, GPT-J), integracja z bazą PostgreSQL i API systemu, optymalizacja zasobów (CPU, GPU), aktualizacje modeli i bezpieczeństwo danych. Oczekuję wyceny, kosztów utrzymania, terminu realizacji, rekomendacji sp...

...prebuilt AI system on a mini-PC or laptop that runs fully offline, with the ability to simulate tactical scenarios, experiment with prompting techniques, and run open-source language models locally. --- Scope of Work: Install and configure Linux (Debian, Pop!_OS, or Ubuntu Minimal) Set up a local LLM interface (text-generation-webui or LM Studio) Load and configure Mistral 7B, LLaMA 3 8B, or Mixtral Configure file ingestion tools (e.g., PrivateGPT, LangChain, LLM-RAG) Harden the OS for air-gapped use (disable networking, strip telemetry) Ensure full offline operation, with no model dependence on internet connectivity Document setup clearly: startup, shutdown, prompt examples --- Ideal Candidate Has: Experience deploying open-source LLMs locally Strong Linux sysadm...

...vector search, feeds context, returns answers. - Allow profile JSON for personalisation. 3 - Light React front-end - Chat UI with facets (price, diet). - Show citations and short summaries. 4 - Ops - Deploy on our dedicated Ubuntu server (GPU available). - Write clean Docker Compose files. - Hand over docs and scripts. Must-have skills - Python 3.11, FastAPI. - Llama 2/3 or Mixtral fine-tuning and inference. - Vector DBs at scale. - Docker, GPU drivers, Linux admin. - React + TypeScript. Nice-to-have - Prompt engineering for product search. - DevOps (GitHub Actions, monitoring). - Experience with GS1 or retail data. Deliverables - Running demo on our server with 100 k sample SKUs. - Architecture pack — diagram and concise write-up of com...

...vector search, feeds context, returns answers. - Allow profile JSON for personalisation. 3 - Light React front-end - Chat UI with facets (price, diet). - Show citations and short summaries. 4 - Ops - Deploy on our dedicated Ubuntu server (GPU available). - Write clean Docker Compose files. - Hand over docs and scripts. Must-have skills - Python 3.11, FastAPI. - Llama 2/3 or Mixtral fine-tuning and inference. - Vector DBs at scale. - Docker, GPU drivers, Linux admin. - React + TypeScript. Nice-to-have - Prompt engineering for product search. - DevOps (GitHub Actions, monitoring). - Experience with GS1 or retail data. Deliverables - Running demo on our server with 100 k sample SKUs. - Architecture pack — diagram and concise write-up of com...

...Learning Activities, Quizzes, Case Studies) Voice Prompt Support (Whisper API or equivalent) Multi-step AI-driven conversation flows Bilingual UX (English & Spanish) Instructor-centric UX with customizable settings Architecture Overview This will be a hybrid AI architecture, combining: • Local AI Models (Private Cloud) For general content handling, memory, and cost optimization. Suggested: LLaMA 3, Mixtral 8x7B via RunPod, etc. • External LLMs & Agents (for deep reasoning & scraping) Suggested: GPT-4o, DeepSeek, Claude 3.5, Gemini 1.5, Perplexity Pro. • Vector DBs & Retrieval Systems Suggested: LlamaIndex + ChromaDB • Workflow Memory & Logging Track decisions, inputs, and recommendations across user sessions. Tech Stack Suggestions (Open ...

...with Mixtral – Generate AI-based responses, with GPT-4 API fallback for complex queries. 4. Text-to-Speech (TTS) with Coqui – Convert text back to speech. 5. Bot replies to the customer. • Fallback to human agents if AI cannot resolve, with full call history & transcription. Key Features: • Hybrid Implementation (On-Prem + Cloud): Balancing cost, latency & scalability. • Omnichannel Support: Handling calls via SIP, WebRTC, and cloud platforms. • Scalable Architecture: Initial capacity of 50 calls per minute, scaling up to 10,000 per minute. • Live Transcription & Call Logging: For analytics & future reference. • Fallback Handling: Smooth call transfers to human agents when necessary. Tech Stack Preferences: • ...

...with Mixtral – Generate AI-based responses, with GPT-4 API fallback for complex queries. 4. Text-to-Speech (TTS) with Coqui – Convert text back to speech. 5. Bot replies to the customer. • Fallback to human agents if AI cannot resolve, with full call history & transcription. Key Features: • Hybrid Implementation (On-Prem + Cloud): Balancing cost, latency & scalability. • Omnichannel Support: Handling calls via SIP, WebRTC, and cloud platforms. • Scalable Architecture: Initial capacity of 50 calls per minute, scaling up to 10,000 per minute. • Live Transcription & Call Logging: For analytics & future reference. • Fallback Handling: Smooth call transfers to human agents when necessary. Tech Stack Preferences: • ...

...Extracts relevant data. 4️⃣ AI detects missing details and asks clarifying questions. 5️⃣ User provides additional input. 6️⃣ AI refines and generates a personalized summary. 7️⃣ AI organizes key takeaways and logs them for future reference. Technical & Deployment Requirements ✅ 1. AI System Components Voice Processing: OpenAI Whisper API (or equivalent). Local AI Processing: Hosted LLaMA-3 / Mixtral-8x7B ( or cloud GPU). Online AI Services: DeepSeek API & OpenAI GPT-4 for advanced reasoning. AI Memory & History Retrieval: LlamaIndex + ChromaDB for efficient data lookup. ✅ 2. Backend Infrastructure & Data Handling User Authentication: PostgreSQL / MongoDB. Data Processing & Storage: Optimized architecture for AI query handling. Notification System: Fireba...

Project Overview I am looking for an experienced AI/ML developer to create a cutting-edge AI system that generates original, high-quality novels from scratch with long-term coherence, character consistency, and dynamic storytelling. This AI should be future-proof, incorporating the latest AI research, including: • Fine-tuned LLMs (LLaMA 3, Mixtral 8x7B, DeepSeek) • Retrieval-Augmented Generation (RAG) • Vector Search (ChromaDB, FAISS, Weaviate) • Semantic Search for Contextual Relevance • Multi-Agent AI (Self-Improving AI) • Graph-Based Memory Systems (Neo4j, LangGraph) • Reinforcement Learning with Human Feedback (RLHF) • LoftQ for Low-Cost Fine-Tuning • FlashAttention-2 for Efficient Model Training • RWKV for Adaptive Long-Form Wri...

(⚠️urgent project. please only bid if you’re passionate and available to work intensely) Key Steps: 1. Model Selection: Use open-source models like: • Text Only: LLaMA 2, Mistral, Mixtral, Falcon. • Multimodal (Text + Images): LLaVA, OpenFlamingo, Gemma, PixArt. 2. Dataset Preparation: • Gather proprietary text + file data for training. • Clean and preprocess data using tools like langchain and datasets. 3. Fine-Tuning: • Fine-tune the model using LoRA, QLoRA, or PEFT techniques for efficiency. • Use Hugging Face Transformers or Deepspeed for training. 4. Exporting the Model: • Save the model weights and tokenizers. • Convert to ONNX or TorchScript for optimized inference. 5. Self-Hosting: • Deploy the model on a GPU...

I am seeking expertise in deploying the Mistral system on-premises, specifically for data processing tasks. Key Project Elements: 1. Mistral System Installation: Implementing Mistral system in our on-premises hardware setup, ensuring optimal performance and security. 2. Data Processing: The system should be set up to efficiently process unstructured data such as texts and emails. Ideal Candidate: - Expertise in on-premises Mistral system deployment by using NVIDIA GPUs - Profound understanding of data processing techniques for unstructured data - Previous experience in similar projects would be preferred.

I am in need of a Python expert who can perform a deep dive into the performance of ...required to integrate the API server with third-party APIs. Experience in this area is highly beneficial. Ideal Skills: - Strong expertise in Python programming. - Previous experience in performance testing, specifically LLMs. - Familiarity with benchmarking tools and methodologies. - Ability to work with APIs and integrate them effectively. Models to consider: llama3-8b-8192 text-davinci-003 Mixtral 8x22b Whisper Our datasets on hf, /datasets/uconcreative/slmDatasets Reference: Sample testing items (send me a permission request with your name plz) Project term: 4 days

I need a skilled individual to develop performance testing scripts in Python for Colab and Jupyter notebook. The performance metrics that the scripts should measure are: F1 score, Perplexity, Accuracy, and BLEU score. These metrics can be found in the provided GitHub link. Ideal skills and experience for this job include: - Proficiency in Python, Jupyter-notebook, ...metrics can be found in the provided GitHub link. Ideal skills and experience for this job include: - Proficiency in Python, Jupyter-notebook, and Colab - Experience with performance testing and metrics - Ability to create scripts that accurately measure the metrics provided - Experience with NLP tasks and language models would be a plus LLM: mixtral and Korean Datasets

...required to integrate the API server with third-party APIs. Experience in this area is highly beneficial. Ideal Skills: - Strong expertise in Python programming. - Previous experience in performance testing, specifically LLMs. - Familiarity with benchmarking tools and methodologies. - Ability to work with APIs and integrate them effectively. Models to consider: llama3-8b-8192 text-davinci-003 Mixtral 8x22b Whisper Reference: Sample testing items (send me a permission request with your name plz) Project term: 4 days 1. Performance Testing: I will execute comprehensive performance tests on multiple LLMs using Jmeter 5.5 to evaluate their efficiency under varied

I am in need of a Python expert who can perform a deep dive into the performance of various Learning Management Systems (LLMs) under differe...required to integrate the API server with third-party APIs. Experience in this area is highly beneficial. Ideal Skills: - Strong expertise in Python programming. - Previous experience in performance testing, specifically LLMs. - Familiarity with benchmarking tools and methodologies. - Ability to work with APIs and integrate them effectively. Models to consider: llama3-8b-8192 text-davinci-003 Mixtral 8x22b Whisper Reference: Sample testing items (send me a permission request with your name plz) Project term: 4 days

I'm looking for a skilled AI developer to create a sophisticated artificial intelligence model, similar to Mixtral or others, that is capable of summarizing and providing answers based on scientific papers. The model will be specifically designed and optimized for use on the desktop. Here are the key project requirements: - The AI model must be capable of reading, analyzing, summarizing, and generating answers based on large volumes of text contained in scientific papers. - It should have strong capabilities in Natural Language Processing, Machine Learning and Text Mining. - The developer should have experience in creating AI models for academic research. - The application of the model will be in academia, used primarily for research purposes. Skills & Experience Require...

I'm seeking a proficient Python developer with considerable experience in AI modeling, specifically familiar with Mixtral/Mistral model. Once installed on an AWS server, this model will be optimized to process text data. Key Project Tasks: - Install the uncensored Mixtral/Mistral AI model on the AWS server leveraging Python. - Facilitate a proper API linkage to the model. - Enable HTTP GET and POST requests to interact with the model. - Ensure smooth processing of text data through the implemented model. Ideal Skills and Experience: - Proficiency in Python programming and AWS server management. - Proven experience installing AI models, preferably Mixtral/Mistral. - Knowledgeable in handling API requests. - Capability to work with multiple data types, with an ...

...real-time team collaboration and effective communication. Please apply if you have requisite skills and experience. ADDITIONAL REQUIREMENTS - The client needs to have a local/offline/private LLM system, where the client can ask the LLM questions about one or several PDF files - The LLM models will be top performance models (GPT4-like) such as the top model(s) from Mixtral - At least 3 different LLM models will be installed (Mixtral top performant will be one of them) - Freelancer will install and configure/setup all necessary software in the specified remote Linux machine provided by the client. In case some software needs to be installed from the root account, the freelancer will provide the info to the client, so that the client installs the software - When the soft...

teach me how to install LLAMA LLM locally on Windows only CPU and use by LLM python you provide or word file with detailed instructions or video with detailed instructions LLAMA LLM locally on Windows -> should be running not slow project acceptance: I can do it myself on my Windows computer using your instructions references Install Mixtral 8x7B Locally on Windows on Laptop Mistral 7B Dolphin Installation on Windows Laptop Locally

teach me how to install Mistral LLM locally on Windows with only CPU (no GPU ) and use by python you provide or word file with detailed instructions or video with detailed instructions Mistral LLM locally on Windows...me how to install Mistral LLM locally on Windows with only CPU (no GPU ) and use by python you provide or word file with detailed instructions or video with detailed instructions Mistral LLM locally on Windows -> should be ruining not slow project acceptance: I can do it myself on my windows computer using your instructions references Install Mixtral 8x7B Locally on Windows on Laptop Mistral 7B Dolphin Installation on Windows Laptop Locally

Install this LLM: https://www.freelancer.com/users/l.php?url=https:%2F%%2Fwatch%3Fv%3DWjiX3lCnwUI&sig=e8d53c76ae6d61a0eb8389bddc82f5b7cf9219ec89688b2d54ef86ee175c4a59 This will be installed on a local server. We will need to have a video chat before you install. We can use the Freelancer software for that.