Suggestions
Ed Donner
Co-Founder & CTO at Nebula.io
Ed Donner is the Co-Founder and Chief Technology Officer (CTO) of Nebula.io, a company that uses AI to revolutionize talent acquisition and management.13 He is a repeat co-founder of AI startups and a speaker and advisor on Generative AI and LLM Engineering.4
Background and Experience
- Previously founded and served as CEO of AI startup untapt, which was acquired in 2021.1
- Has over 20 years of experience in the financial services industry, including roles as:
Education and Expertise
- Holds a Master's degree in Physics from the University of Oxford.5
- Specializes in Natural Language Processing, Deep Learning, Python, and AI.2
- Passionate about applying AI to solve real-world problems, particularly in the field of hiring and talent management.6
Current Role at Nebula.io
At Nebula.io, Ed leads the development of an AI-powered platform that helps companies source, understand, engage, and manage talent more efficiently.3 The platform uses generative AI and other forms of data science to match candidates with roles more accurately and quickly than traditional methods.6
Ed is driven by the goal of helping people discover their potential and find fulfilling work, inspired by the concept of Ikigai.6 He believes that by improving the job matching process, Nebula.io can contribute to raising the level of human prosperity.6
Highlights
The fabulous teams at O'Reilly and Pearson have invited me back for another Live Event on 'Choosing the Right LLM' tomorrow at 1pm ET. I had over 1,000 people sign up last time! This is right before a holiday weekend, but I'm hoping for the same turnout and energy...
We'll experiment with tons of frontier and open-source models, and see how they stack up across leaderboards and arenas. We'll code 3 solutions to commercial problems, using remarkable platforms and frameworks like Hugging Face, LangChain, Gradio, Weights & Biases, Chroma and more.
By the end, we'll have a fine-tuned Llama 3.1 that will OUTPERFORM both GPT-4o and Claude 3.5 Sonnet! At least, in solving a very specific problem.
Here's a link to the Event. If you're not already an O'Reilly subscriber, you can sign up for a 10 day free trial. There will be a recording available afterwards, but it can only be accessed by those who enroll in advance. Please sign up if you're interested, and I'll see you there!
My O'Reilly Live Event published by Pearson is tomorrow! It's on Friday at 1pm ET on 'Choosing the right LLM - how to select, train, and apply state-of-the-art LLMs to real-world business use cases.'
We’ll get hands-on with Frontier LLMs while experimenting with RAG and fine-tuning using LangChain, Gradio, Weights & Biases, llama.cpp and more.
Only yesterday, Hugging Face unveiled the revamped Open LLM Leaderboard with challenging benchmarks that set the bar higher. We’ll see how the models stack up on this and 10 other Leaderboards and Arenas.
Most importantly, we’ll come up with strategies for selecting the best LLMs and the best techniques to solve real commercial problems.
If you’re not already an O’Reilly member, you can sign up for a free trial below. (O’Reilly will publish a recording afterwards, but you'd need to register for the class in advance to access it.)
Can’t wait!
