Language models transform the way systems interact with text. I design solutions based on LLMs to meet specific business needs: conversational assistants, semantic analysis, content generation, automation of complex tasks.
GPT, LLaMA, Mistral, Claude, Falcon - strategic choice based on performance, cost and confidentiality constraints.
Zero-shot, few-shot, chain-of-thought techniques to maximize response relevance and interaction robustness.
Fine-tuned management of context, memory windows and vector representations for optimized language processing.
Deployment in conversational assistants, internal tools or customer interfaces, with orchestration via Langchain or LlamaIndex.
Use cloud APIs or local deployment with quantization (GGUF, vLLM) for greater control and efficiency
These solutions enrich the user experience, automate cognitive processes and create intelligent, reliable and scalable interfaces.
Creation of intelligent architectures, APIs, conversational agents, recommendation systems
Integration of models such as GPT, LLaMA, Mistral, Claude, etc. into business workflows
Adaptation of pre-trained models to specific corpora, supervised or reinforcement training
Design and training of deep learning models (CNN, RNN, Transformers) & machine learning (Random Forest, Scikit-Learn) for complex cases
Combining documentary research and generation for precise, contextualized answers
Design and deployment of modular, secure local AI architectures capable of processing data directly on the device
Containerization, CI/CD, monitoring, scalability, model security in production
Consultant specializing in the development of solutions based on theartificial intelligencethe language models (LLM) and neural networks.
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