The development of open source LLM AI models, including Mistral 8x7b and Yi-34B, is progressing rapidly. OpenAI has achieved a $1B+ ARR in just one year, while Nvidia's data center revenue has increased 6x. It is predicted that OpenAI, Google, and Open Source will be the top 3 players in the LLM wars by 2024. OpenAI will refocus on AGI by the end of 2024. Additionally, the importance of factors beyond code, such as datasets and hyperparameters, in open source AI and LLMs is emphasized.
Open source AI & LLMs will need to be about more than just code. It must also include: datasets, hyperparameters, compute coordination, rare weight forks (so training can be more cumulative) and systems engineering. I wonder how we could help with this at some point.. https://t.co/LnCt7fQr3R
The top 3 LLM players will soon be OpenAI, Google and Open Source While Anthropic looks strong right now, excessive safety lobotomy will hurt model performance Gemini Ultra will be good, but OpenAI will almost definitely top Google soon after Plus, there will be some very big…
The top 3 LLM players will soon be OpenAI, Google and Open Source While Anthropic looks strong right now, excessive safety lobotomy will hurt model performance While Gemini Ultra will be good, OpenAI will almost definitely top Google soon after There will be some very big…
Is Anthropic the Pepsi to OpenAI's Coke? No - Google and Open-Source will take 2nd and 3rd place in the LLM wars in 2024 By the end of 2024, OpenAI will return to its original mission and focus on AGI, and LLMs won't be as hyped as they currently are. LLMs will be a commodity.… https://t.co/NENGstSnGX
LLMs will eat software Here's a nice view of the larger market segments. In just 1 year: > OpenAI went from 0 to $1B+ ARR > Nvidia data center revenue went 6x from $3.6B to $18B+ Source: IOT Analytics (dm for the link to the report) https://t.co/Qy1RNr4LwJ
The lift off of open source LLM AI models in less than a year is astonishing to see. Mistral 8x7b and Yi-34B is on the move and will significantly improve in the next weeks. Yes so will closed source. But when is “good enough” good enough for many if not most uses? https://t.co/C2QAibNylI