Bread is hiring!
We're looking for two exceptional individuals to join our team in SF / Bay Area:
Developer Relations:
→ Build a vibrant developer ecosystem
→ Create killer tutorials/docs
→ Python, ML, and OSS familiarity
→ Attend conferences, speak publicly, and be an evangelist for our mission.
→ 3+ years experience in a similar role.
Machine Learning Engineer
→ Run experiments + bake models
→ Develop good recipes & share best practices
→ Python/PyTorch/huggingface
→ Applied experience Prompt Engineering
→ 2+ years experience training LLMs
If you want to give people greater control over their AI by making them learn more like humans, click the link below to learn more!
"We really care about being seen positively by society. We care about being in good standing. All these social intuitions that we have, I feel strongly that they're baked in."
Had not heard of context distillation when we wrote the paper back in 2024 but this is great stuff & way ahead of its time!
Our initial paper showed us that prompts could in principle be converted into weight updates — and surprisingly fast with new advances like LoRA, and
Why Prompt Baking is the only known method for sample-efficient, on-the-job learning.
Our new blog post explores why no other method can achieve the same sample efficiency and composability as baking in prompts, and why we’re placing our long-term bets on this approach for solving human-like on-the-job learning.
Our round also included participation from Golden Ventures, Northside Ventures, and a number of angels.
None of this would have been possible without our early employees’ extremely hard work and monumental technical lifts.
Special thanks to Alexander Detkov & Prof. Matt Thomson at Caltech for their support in the early research that led to Bread!
Announcing Bread Technologies. We’re building machines that learn like humans.
We raised a $5 million seed round led by Menlo Ventures and have been building in stealth for 10 months.
Today, we rise 🍞
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