Important factors to consider wrt cost of model training and serving: “SOTA models these days have about ~500B parameters and that represents at least ~1TB of GPU memory to operate with specialized infrastructure. That's a minimum of ~$60,000 - $100,000 p…https://t.co/7PyedGu7Lm
StableLM is trained on a new experimental dataset built on The Pile, but three times larger with 1.5 trillion tokens of content. The richness of this dataset gives StableLM surprisingly high performance in conversational and coding…https://t.co/4XYLtbg9OQ https://t.co/iDshAxrqad
The analogy between the syntax-semantics of natural languages and the sequence-function of proteins has revolutionized the way humans inves- tigate the language of life. https://t.co/szapPmr9yA
With YouTube creators becoming increasingly empowered by versatile generative AI tools, it will only amplify the rising trend of audiences consuming more user-generated content on TVs, conducive to more YouTube advertising revenue,…https://t.co/CsRvgLRs0p https://t.co/aJ3Pzc4Ewu
They say a good craftsman shouldn't blame his tools, but can a good tool [LLM] blame a shoddy craftsman?
But
Large language models specialize in generating human-like text. Correct answers are a bonus. https://t.co/ViqcLqPM9l
Another key concept to understand: Most of the AI-generated images currently produced rely on Diffusion Models as their foundation. https://t.co/rOUViLJRL2
Together with https://t.co/VckAzyW9l6 real-time behavioral capabilities, generative models add a much needed angle to AI for business usefulness. Here is a another outline in summary for those who need a quick reference:
Generativ…https://t.co/s8WWxqxUp2 https://t.co/PBwsXmTJni
Excellent share @dxbrob. "It is perhaps uncontroversial to say that this claim
that one of us made eight years ago (Soman, 2015)
is now accepted as universal truth. Governments,
for-profit organizations, not for profits, startups,
consumer protect…https://t.co/BUyZaqvXbr
FinGPT emphasizes the critical significance of data collecting, cleaning, and preprocessing in creating open-source FinLLMs using a data-centric approach. FinGPT seeks to advance financial research, cooperation, and innovation by p…https://t.co/xg1GQIXfRl https://t.co/8LxNu6S0bt
Great paper on transformers: “Transformer large language models (LLMs) have sparked admiration for their exceptional performance on tasks that demand intricate multi-step reasoning. Yet, these models simultaneously show failures on…https://t.co/xPeVzIS8Ag https://t.co/LDXgdXAznr
Gorilla is a major addition to the list of language models, as it even addresses the issue of writing API calls. Its capabilities enable the reduction of problems related to hallucination and reliability. https://t.co/ux06hP4qUl
Another great set of models. Why use Falcon-40B?
1. It is the best open-source model currently available. Falcon-40B outperforms LLaMA, StableLM, RedPajama, MPT, etc. See the OpenLLM Leaderboard.
2. It features an architecture optimized for inference, wit…https://t.co/kpucrfPnDR