Learning Center

At Aurelio AI we believe in the power of online learning. That’s why we dedicate a lot of our efforts to developing educational material. Here is some of the latest content and talks that members of the Aurelio team have published.

Oslo Meetup: Large Language Models and Search (Tekna)
LLMs

Oslo Meetup: Large Language Models and Search (Tekna)

Large Language Models (LLMs) are revolutionalizing how machines understand and generate human-like text. In this Tekna meetup, James (Aurelio AI) and Jo Kristian Bergum (Vespa) explain how to get them working with retrieval.
Fine-tuning OpenAI's GPT 3.5
LLMs

Fine-tuning OpenAI's GPT 3.5

Fine-tuning for GPT 3.5 turbo is finally here! The latest update gives OpenAI users the ability to create their own custom GPT-3.5 model that has been tuned towards a particular dataset. James explains how it works here.
Deploying HuggingFace Models on NVIDIA-Enabled EKS Nodes
MLOps

Deploying HuggingFace Models on NVIDIA-Enabled EKS Nodes

Bogdan shares how he used battle-tested container orchestration for our GPU-enabled inference workloads, with baked-in telemetry from Prometheus.
Superagent.sh August Meetup
AI Agents

Superagent.sh August Meetup

Simonas shares his thoughts on the Superagent.sh library and how it helps us develop agent frameworks for our clients.
Nvidia's NeMo Guardrails: Full Walkthrough
Conversational AI

Nvidia's NeMo Guardrails: Full Walkthrough

James explores Nvidia's NeMo Guardrails library for building chatbots. Allowing us to create semi or fully deterministic shields that use against specific behaviors, conversation topics, or even to trigger particular actions.
Supercharging Llama-2 with RAG
LLMs

Supercharging Llama-2 with RAG

James and the LangChain team explore how we add external knowledge to Large Language Models using Retrieval Augmented Generation (RAG) using the Pinecone vector database.
Podcast Chatbot using LangChain Agents and GPT-3.5
Conversational AI

Podcast Chatbot using LangChain Agents and GPT-3.5

Conversational agents are set to become the future of natural language interfaces. Learn how they work in this LangChain walkthrough with James.
Retreival Augmented Chat using GPT-4 and Pinecone
LLMs

Retreival Augmented Chat using GPT-4 and Pinecone

GPT-4 is the completion model from OpenAI. This walkthrough from James demonstrates how to ground it with real world information using a vector database.
Building the Future with LLMs, LangChain, & Pinecone
LLMs

Building the Future with LLMs, LangChain, & Pinecone

Join Harrison Chase (founder of LangChain), and James Briggs, (Aurelio and Pinecone), as we explore the new age of AI and it's biggest enabler — LangChain.
Medical Search Engine with SPLADE + Sentence Transformers
Vector Search

Medical Search Engine with SPLADE + Sentence Transformers

A walkthrough from James on hybrid search applied to the Medical domain. Hybrid search is a powerful solution in language-only and multi-modal retrieval systems.