The MLOps Blog

FEBRUARY 22, 2024

The experiments show that memory-based methods (Replay, GEM, AGEM) outperform all other techniques regarding the final model’s accuracy. Another example may be a robot vacuum cleaner trying to improve its route through a house. Various experiments show that mixed approaches can be beneficial in many scenarios.

Continuous Learning 59

Continuous Learning Machine Learning ML Neural Network 59

AWS Machine Learning Blog

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. The following code shows an example prompt template: prompt_template = """ Our company, "Classic Cinema" frequently promotes movies that we aim to recommend to our customers.

Generative AI 110

Generative AI LLM Natural Language Processing Metadata 110

Towards AI

AUGUST 8, 2023

RT-2: New Model Translates Vision and Language Into Action Meta’s Robotic Transformer 2 (RT-2) is a vision-language-action model that combines web-scale capabilities with robotic control. It effectively recognizes visual and language patterns, generalizes emergent skills, and successfully leverages web-based data to learn new skills.

Large Language Models 90

Large Language Models AI AI Robotics 90

Snorkel AI

JULY 6, 2023

That would be for six degrees of freedom–here on the left we have a robot whose perception was trained using entirely synthetic data. NW : I think there is a team within NVIDIA that does tabular data, but my team in particular is focused strictly on perception data. And it’s linked to detect this piece. AB : Got it.

AI 59

AI AI Neural Network Deep Learning 59

Snorkel AI

JULY 6, 2023

That would be for six degrees of freedom–here on the left we have a robot whose perception was trained using entirely synthetic data. NW : I think there is a team within NVIDIA that does tabular data, but my team in particular is focused strictly on perception data. And it’s linked to detect this piece. AB : Got it.

AI 59

AI AI Neural Network Deep Learning 59

AWS Machine Learning Blog

OCTOBER 4, 2023

Solution overview Amazon SageMaker is built on Amazon’s two decades of experience developing real-world ML applications, including product recommendations, personalization, intelligent shopping, robotics, and voice-assisted devices. This post uses the Falcon 7B Instruct model.

LLM 88

LLM Large Language Models ML Generative AI 88

Cold Takes

JUNE 9, 2022

In brief: By default, I expect the economic gains from using AI to mean that humans create huge numbers of AIs, integrated all throughout the economy, potentially including direct interaction with (and even control of) large numbers of robots and weapons. (If Their goal is ultimately to have enough AIs, robots, etc.

AI 59

AI AI Robotics Software Engineer 59

ODSC - Open Data Science

FEBRUARY 8, 2024

data that is not strictly necessary but that would improve the data product). In particular, everything culminates in an ultimate data product called “fully automated meal preparation and serving robot”. This possibility can be captured as an edge on the dependency graph. data that you must have), versus ‘soft’ dependencies (i.e.

AI Strategy 52

AI Strategy Data Scientist Data Science AI 52

Probably Approximately a Scientific Blog

AUGUST 30, 2019

More formally, given some input, the model should generate text that is strictly derived from it. Moreover, this interesting study showed that text generated by maximizing the probability is very different from human-generated text. The robots may fail us humans, but not each other ? text or not.

NLP 52

NLP BERT OpenAI Natural Language Processing 52