cyberninja15

what machine are you running GPT-OSS-120B on? I'm currently only able to get GPT-OSS-20B working on my macbook using Ollama

I'm hoping their example is just the surface level and the technology is much richer. I'm very interested to see how they're adding: - real-time data to LLM retrieval - validation of recommendations (hallucination reduction) - enriched metadata for recommendations

Woah, this is wild. Never knew how aggressive the copyrights were for *Zilla.

Makes sense. And, TF Lite is excellent for on-device models and inference.

This seems bad. Heating of oceans will trigger a change in underwater currents, which will have a dramatic impact on heat distribution on the planet.

I've read somewhere that carbon emissions had declined for a few years. Is that true?

Duolingo was one of the first companies to partner with OpenAI on leveraging their language models. I think they were using GPT-3 before ChatGPT was even popularized.

Generally agreed. I think 4-5 data points is fine, but the advantage of pie charts is that it's a quick visual representation of what proportion of the 100% can be attributed to the 4-5 segments.

Pie charts fail again once the distribution is very skewed (1 segment = 99% and the other 3 shared 1%). It also fails when the distribution is too even (5 segments 20% each). They shine the most when there is variance, but overall easy to interpret the distribution differences.

A new post-pretraining method for LLMs with an expansion of Transformer blocks.

I thought most vaccines were weakened viruses to prepare the body for diseases or viruses. None-the-less, very cool research.

Pretty sure this was a homework assignment I had while I was in school

nice, but I wonder if a query optimizer within the database might be the more optimal solution.