pablosls
AI ML Specialist, Machine Learning, Data Engineer, Big Data, Python, Spark, Docker, Kubernetes, Airflow, AWS, Google Cloud, Tensorflow, Open Source, Linux
Itaú UnibancoSão Paulo, Brazil
Pinned Repositories
Ansible_cluster_kubernetes_aws_iaasweek
Decision-Tree
Jupyter notebook repository used at the seventh São Paulo's chapter meeting of the School of AI initiative (https://www.theschool.ai/).
desafio-1-2020
desafio-2
Desafio 2 ~ FIAP
desafio-2-2020
desafio-6-2020
desafio-7-2020
docker-airflow
Docker Apache Airflow
react-simple-chatbot
:speech_balloon: Easy way to create conversation chats
terraform-gitlab-ci-deploy-ec2-python
pablosls's Repositories
pablosls/AI_RAG_PDF_Search_in_multiple_documents_using_Gemma_2_2B_on_Colab
pablosls/aircraft-takeoff-speed-estimation
Vehicle speed estimation using YOLOv8
pablosls/asl-ml-immersion
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
pablosls/astro-example-dags
pablosls/awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
pablosls/aws-genai-rag-workshop
pablosls/chat-with-gemma
Chabot demo using GKE, Cloud Run, Gradio and Gemma
pablosls/chat-with-website
Simple Streamlit and Chainlit app to have interaction with your website URL.
pablosls/cloud-hackathons
pablosls/fsi-genai-bootcamp
pablosls/genai-asl-avatar-generator
pablosls/genai-for-builders
Workshop for getting started with generative AI on Amazon SageMaker
pablosls/genai-model-evaluator
pablosls/genai-quickstart-pocs
This repository contains sample code demonstrating various use cases leveraging Amazon Bedrock and Generative AI. Each sample is a separate project with its own directory, and includes a basic Streamlit frontend to help users quickly set up a proof of concept.
pablosls/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
pablosls/generative-bi-using-rag
A NLQ(Natural Language Query) demo using Amazon Bedrock, Amazon OpenSearch with RAG technique.
pablosls/improve-employee-productivity-using-genai
Employee Productivity GenAI Assistant Example is an innovative code sample and architecture pattern designed to enhance writing tasks efficiency using AWS serverless technologies and Amazon Bedrock's generative AI models.
pablosls/kubernetes-engine-samples
Sample applications for Google Kubernetes Engine (GKE)
pablosls/langflow
⛓️ Langflow is a visual framework for building multi-agent and RAG applications. It's open-source, Python-powered, fully customizable, model and vector store agnostic.
pablosls/llama-recipes
Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.
pablosls/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
pablosls/Perplexica
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
pablosls/rag-from-scratch
pablosls/rag-using-langchain-amazon-bedrock-and-opensearch
RAG with langchain using Amazon Bedrock and Amazon OpenSearch
pablosls/reservation_cancellation_prediction
Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow
pablosls/sagemaker-spark-container
The SageMaker Spark Container is a Docker image used to run data processing workloads with the Spark framework on Amazon SageMaker.
pablosls/serverless-genai-food-analyzer-app
Personalized nutritional app, serverless, tailored to your shopping and cooking needs, empowered by generative AI technology (Amazon Bedrock, Anthropic, Claude Haiku, Claude Sonnet) using AWS CDK on AWS
pablosls/serverless-rag-demo
Amazon Bedrock Anthropic Claude, (Llama2-7B/13B/70B /Falcon-7B/40B/180B on Amazon Sagemaker) LLMs with Amazon Opensearch Serverless as a Vector DB
pablosls/User-Centric-RAG-Using-Llamaindex-Multi-Agent-System-and-Qdrant
This project involves using llamaindex Multi Agents concierge system and Qdrant vector database to customize the RAG application with user preferences over LLMs, Embeddings, Search types, and Reranking Models.
pablosls/VILA
VILA - a multi-image visual language model with training, inference and evaluation recipe, deployable from cloud to edge (Jetson Orin and laptops)