IA agentique
Engineering autonomous systemes utilisant LangGraph et Multi-Agent frameworks pour complex decision-making.
Engineering autonomous systemes utilisant LangGraph et Multi-Agent frameworks pour complex decision-making.
Designing conversational interfaces avec sophisticated Memory gestion et confidentialite controls.
Production-grade Voice AI Agents developed pour temps reel telephony et complex interactions.
mise en oeuvre Convolutional Neural Networks (CNN) et advanced architectures pour image recognition et classification.
Extracting actionable insights depuis raw donnees utilisant statistical modeling et interactif dashboards.
construction advanced Neural Architectures pour Time-Series prevision (LSTM) et complex classification tasks.
Specializing Large Language modeles (LLMs) utilisant Low-Rank Adaptation (LoRA) et PEFT techniques.
Solving real-world business problems avec Predictive Modeling et classical ML algorithms.
implementation of the standardized protocol pour connecting AI modeles to external donnees systemes.
Rigorous benchmarking of LLMs utilisant metrics like BLEU, ROUGE, et Perplexity.
End-to-end texte Processing pipelines, Semantic Analysis, et Transformer implementations (BERT/GPT).
Architecting systemes that ground LLMs in private donnees utilisant Vector Databases (Pinecone, FAISS).
Deep dives into modele internals: construction Multi-Head Attention mechanisms depuis the ground up.
Developing interactif Frontends pour AI applications utilisant Streamlit et Gradio.
Deploying et hosting open-source AI applications on private servers. Examples of self-hosted platforms include Ollama, Open WebUI, Flowise, n8n, Bolt, Browser Use, Cal.com, Excalidraw, et Supabase.