21–30 of 285 posts
Earlier quoted context omitted.
Or perhaps it'll help people to weave their dreams together and so it should be called.. ahh I feel old all of a sudden.
Google Frontpage?
Also just had to explain to the better half why I suddenly shuddered and pulled such a face of despair.
Earlier quoted context omitted.
Or perhaps it'll help people to weave their dreams together and so it should be called.. ahh I feel old all of a sudden.
You made me feel old ;)
On a serious note - LLMs have actually brought me a lot of joy lately and elevated my productivity substantially within the domains in which I choose to use them. When witnessing the less experienced more readily accept outputs without understanding the nuances there's definitely additional value in being... experienced.
2.0 Pro Experimental seems like the big news here? > Today, we’re releasing an experimental version of Gemini 2.0 Pro that responds to that feedback. It has the strongest coding performance and ability to handle complex prompts, with better understanding and reasoning of world knowledge, than any model we’ve released so far. It comes with our largest context window at 2 million tokens, which enables it to comprehensi…
My experience with the Gemini 1.5 models has been positive. I think Google has caught up.
> available via the Gemini API in Google AI Studio and Vertex AI. > Gemini 2.0, 2.0 Pro and 2.0 Pro Experimental, Gemini 2.0 Flash, Gemini 2.0 Flash Lite 3 different ways of accessing the API, more than 5 different but extremely similarly named models. Benchmarks only comparing to their own models. Can't be more "Googley"!
Honestly naming conventions in the AI world have been appalling regardless of the company
Anthropic:
Claude 1 Claude Instant 1 Claude 2 Claude Haiku 3 Claude Sonnet 3 Claude Opus 3 Claude Haiku 3.5 Claude Sonnet 3.5 Claude Sonnet 3.5v2
OpenAI:
GPT-3.5 GPT-4 GPT-4o-2024-08-06 GPT-4o GPT-4o-mini o1 o3-mini o1-mini
Fun times when you try to setup throughput provisioning.
Benchmarks or it didn't happen. Anything better than https://lmarena.ai/?leaderboard ? My experience with the Gemini 1.5 models has been positive. I think Google has caught up.
> available via the Gemini API in Google AI Studio and Vertex AI. > Gemini 2.0, 2.0 Pro and 2.0 Pro Experimental, Gemini 2.0 Flash, Gemini 2.0 Flash Lite 3 different ways of accessing the API, more than 5 different but extremely similarly named models. Benchmarks only comparing to their own models. Can't be more "Googley"!
Honestly naming conventions in the AI world have been appalling regardless of the company
> available via the Gemini API in Google AI Studio and Vertex AI. > Gemini 2.0, 2.0 Pro and 2.0 Pro Experimental, Gemini 2.0 Flash, Gemini 2.0 Flash Lite 3 different ways of accessing the API, more than 5 different but extremely similarly named models. Benchmarks only comparing to their own models. Can't be more "Googley"!