@svpino The problem with this test is that the model uses groups of letters (tokens) instead of individual letters for training. Therefore, the model can't know for certain which individual letters are used in each spot. Instead, it makes educated guesses, which it does fairly well.
You can now bring GPTs into any conversation in ChatGPT - simply type @ and select the GPT.
This allows you to add relevant GPTs with the full context of the conversation.
It seems to be a very poisonous combination to be smart and ambitious and yet not to have achieved very much. Such people are both bitter and highly effective at realizing that bitterness.
I want to be the OpenAI employee who turns his cell phone off at noon Friday for his weekend trip to a Tahoe log cabin and turns it back on Monday morning.
NVIDIA basically compressed 30 years of its corporate memory into 13B parameters. Our greatest creations add up to 24B tokens, including chip designs, internal codebases, and engineering logs like bug reports. Let that sink in.
The model "ChipNeMo" is deployed internally, like a shared genie:
- EDA scripts generation. EDA stands for "Electronic Design Automation", a core software suite for designing the next-gen GPUs. These scripts are the keys to a $1T market cap 🦾;
- Engineering assistant chatbot for GPU ASIC and Architecture engineers that understands internal hardware design specs and is capable of explaining complex design topics;
- Bug summarization and analysis as part of an internal bug and issue tracking system;
- Domain-finetuned retriever that achieves much better accuracy over internal knowledge.
And we publish a whitepaper to share ChipNeMo's creation process: https://t.co/dMG5AFMXTH
Official blog: https://t.co/MMjLbKxE34
Congrats to Haoxing "Mark" Ren's team for the outstanding work!
The fact that Shopify is a ~$50B org that still ships updates this aggressively is one of the major reasons why I'm bullish on them over the next decade
It’s tragic what’s happening with with Canadian regulation in this space. It’s probably well meaning, but extremely bad. Push back and let’s focus on building Housing, companies, infrastructure, wealth, and trust. This does none of that.