What we’re about
Join us to learn and practice AI, Machine learning, Deep learning and Data Science technology together with like-minded developers.
- Update (October 2022), we start to resume in-person meetups. you can join us: submit topics (online or in-person), sponsor the venue/food, or join community leadership team to manage and grow the local community.
- Update (March 2020): Due to the Covid-19, we have moved all our meetup events online: https://www.aicamp.ai
AICamp is a large AI/ML/Data developers community globally, with 180K+ developers from 100+ countries, we also have 40+ local study groups in 15 countries. Our mission is to enable every developer to learn and practice AI/ML/Data technology from anywhere at any time. Contact us (info AT aicamp DOT ai) if you are interested in submitting topics, co-hosting events, collaboration on events, or volunteering to build and grow the local AI/ML/Data community.
** For speaking, submit topics:
-- Topic and Abstract: the topic needs to be technology focused, generally good for engineers, developers to learn and practice on AI, Machine Learning, Deep Learning, Data Science, Cloud, etc..
** For co-hosting events, we can run your events or promote your events in-person or online. we have various promotional packages to run and scale your great events to the global communities. contact us for the prospectus and many recent user cases.
-- For sharing job openings, you can share to the community discussion group on slack (5,000+ members, join slack link: https://bit.ly/3iLe40y ) or sponsor one of our events to announce to attendees. or even better, we can host tech recruiting events to attract more talents. contact us for details.
** For partnering events. we help many tech organizations, meetup groups, communities to run their online events. contact us for details how we can collaborate.
*AI online learning/practicing platform: https://www.aicamp.ai
*AI online community platform: https://www.aicamp.ai/event/events
*50+ Local AI developers communities around world: https://www.aicamp.ai/index/localchapter
Upcoming events (2)See all
- Workshop: Cloud Native Threat Detection Runtime Security (with certificate)Link visible for attendees
Register on the event website to receive joining link: https://www.aicamp.ai/event/eventdetails/W2023092809
Participants of the workshop will receive a Certificate of Completion.
If you are looking to implement real time detection of unexpected behaviors, configuration changes and intrusions so you can stop attacks, then this is the workshop for you. Join this hands-on educational workshop to learn about runtime security and get up and running on Falco, the open-source standard for threat detection across Kubernetes, containers, hosts, and the cloud.
This session is for practitioners that are new to cloud-native and want to expand their knowledge of this dynamic area of security. We will introduce you to the concepts so you have the basics, but mostly you will be working on hands-on labs so you learn the tool and can implement it in your environment tomorrow.
Community on Slack
- Event chat: chat and connect with speakers and attendees
- Sharing blogs, events, job openings, projects collaborations
Join Slack (search and join the #virtualevents channel)
- AWS AI Meetup: Generative AI, LLMs and Vector DB227 W Monroe St, Chicago, IL
Pre-registration is required for admission: https://www.aicamp.ai/event/eventdetails/W2023092615
(Venue security may not let you in if you don't pre-register at the link above)
Welcome to our in-person ML monthly meetup in Chicago, in collaboration with AWS. Join us for deep dive tech talks on AI/ML, food/drink, networking with speakers & peers developers.
* 5:00pm~5:30pm: Checkin, Food/drink and networking
* 5:30pm~5:40pm: Welcome/community update/Sponsor intro
* 5:40pm~7:30pm: Tech talks
* 7:30pm: Open discussion & Mixer
Tech Talk 1: Choice of Vector Database for GenAI
Speaker: Puneet Rawal @AWS
Abstract: In this session Puneet Rawal will walk through various factors that goes into picking a vector database for GenAI use cases like ChatBot, Summarization, Content Generation etc. This will be an in-depth look at comparison of index types, configuration, performance and cost of various databases like Postgres, OpenSearch, PineCone, Milvus etc.
Tech Talk 2: Building a GenAI-based chat bot using Retrieval Augmented Generation
Speakers: Venu Thangalapally, Guillermo Tantachuco @AWS
Abstract: In this session, we will describe GenAI, Retrieval Augmented Generation (RAG), and how RAG ensures that responses are grounded in factual information to reduce the likelihood of hallucinations. We will use Amazon Bedrock to build a question answering chat bot with foundation models (FMs). This chat bot leverages RAG, AWS Lambda, and Amazon Kendra to search a knowledge base and understand the context and return the most relevant results.
Tech Talk 3: Fine Tuning LLMs to augment IDP workflows
Speakers: Alfredo Castillo, Arun Batra @AWS
Abstract: Performing Common Sense Reasoning and question answering using Large Language Models (LLMs) on a document is a crucial task in Natural Language Processing (NLP) to extract meaningful context and provide insightful answers from the textual data in a more intuitive manner. In this lecture, we will explore how to extract text from documents using Amazon Textract for Intelligent Document Processing workflows (IDP). Improve the responses via Retrieval-Augmented Generation (RAG) approach with Vector database and create inferences from the LLM for Q&A.