Archives for large language models - Page 4
Despite the murmurs, Google is still leading the AI race with its Pathways Language Model (PaLM), released earlier this year.
The post Google’s PaLM is Ready for the GPT Challenge appeared first on Analytics India Magazine.
06
Dec
Top 10 Alternatives to GPT-3
There are many other language models with either lesser or more number of parameters, that can be suitable for your NLP tasks
The post Top 10 Alternatives to GPT-3 appeared first on Analytics India Magazine.
Why is there such intense competition in this field, or in other words, are other AI domains lagging behind NLP in terms of innovation?
The post Is NLP innovating faster than other domains of AI appeared first on Analytics India Magazine.
New research from DeepMind attempts to investigate the optimal model size and the number of tokens for training a transformer language model under a given compute budget.
After a pandemic-driven start to 2020, enterprises across industries realised the significance of AI and Data Sciences. Its adoption accelerated, and leaders correctly predicted growth in the industry in all aspects. Overall, organisations invested more in Data Science, and there was an upswing in the Data Science jobs. While the median salaries of analytics professionals […]
After a pandemic-driven start to 2020, enterprises across industries realised the significance of AI and Data Sciences. Its adoption accelerated, and leaders correctly predicted growth in the industry in all aspects. Overall, organisations invested more in Data Science, and there was an upswing in the Data Science jobs. While the median salaries of analytics professionals […]
Large language models are all the rage now, especially after the launch of Gpt-3. Ever since, AI powerhouses have come up with bigger and more sophisticated language models to push the frontiers of the NLP game. Now, DeepMind has proposed a smaller and less expensive language model, dubbed RETRO, with an aim to address the […]
According to DeepMind, unmodified LMs tend to assign high probabilities to exclusionary, biased, toxic, or sensitive utterances if such language is present in the training data.
It is a long-standing joke among the industry experts that while AI may crunch massive amounts of data, write codes that run huge machinery or even author a book, it would still fail tasks that a three-year-old human child can accomplish. This is also why AI systems still have a long path to trace to […]
With so many large language models coming out this year, can we expect a 100T model in 2022?