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Mem0 Blog
blog.mem0.ai

Want to adapt large language models (LLMs) to your target domain? Parameter-efficient finetuning is and will remain the way forward!
I just distilled the main concepts, from prefix tuning to LLaMA-Adapters, in a new blog article here:
🔗 https://t.co/rcCVMAl2zq https://t.co/Ps67J4WGco
my AI-powered career exploration app (Wanderer) has been experiencing explosive growth and my GPT-4 costs were starting to pile up ($100+ a day 💀)
here's the playbook I used to lower my AI costs by 99%, while also decreasing latency and maintaining quality:
1. start with the most powerful... See more
zackx.comEric Jang stated that 1X's data engine approach embodies Karpathy's "Operation Vacation" at Tesla.
A generalized foundation model is trained on diverse data, which specializes through specific data collected by operators and users, without needing AI engineers to intervene.
The Humanoid Hubx.com
An attempt to explain (current) ChatGPT versions.
I still run into many, many people who don't know that:
- o3 is the obvious best thing for important/hard things. It is a reasoning model that is much stronger than 4o and if you are using ChatGPT professionally and not using o3 you're ngmi.
-... See more

