Snorkel AI

AUGUST 24, 2023

Build better AI-fueled complaint handling with Snorkel AI The Snorkel Flow data-centric AI platform helps businesses create and launch AI applications for their specific needs by enabling them to label data accurately and at scale.

Large Language Models 52

Large Language Models AI AI Natural Language Processing 52

deepsense.ai

OCTOBER 8, 2023

Despite its age, it remains at the bleeding edge of technology, driving the development of increasingly intelligent, adaptable and complex systems. Act – perform a task, call an LLM or another function. Reinforcement Learning is one of the seminal branches of Machine Learning, with roots reaching back to the 1980s and 1990s.

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Auto-complete LLM AI AI 92

Dlabs.ai

NOVEMBER 2, 2023

The most popular tools among our developers are Copilot and ChatGPT. Creating Apps using AI: Developers use AI in building innovative applications. In our case, during the development of our GPT-based diabetes assistants. We tried Vectara, an LLM-based platform for search. BERT), GPT is a generative model.

LLM 52

LLM ChatGPT Artificial Intelligence Artificial Intelligence 52

Unite.AI

OCTOBER 23, 2023

Over the past few years, Large Language Models (LLMs) have garnered attention from AI developers worldwide due to breakthroughs in Natural Language Processing (NLP). MLLMs or Multimodal Large Language Models : Using pre-trained LLM models to explore their applications & effectiveness in generating multimodal data.

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Large Language Models LLM Natural Language Processing BERT 312

AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker Clarify now provides AWS customers with foundation model (FM) evaluations, a set of capabilities designed to evaluate and compare model quality and responsibility metrics for any LLM, in minutes. FMEval helps in measuring evaluation dimensions such as accuracy, robustness, bias, toxicity, and factual knowledge for any LLM.

Large Language Models 88

Large Language Models LLM Algorithm Responsible AI 88

AWS Machine Learning Blog

APRIL 29, 2024

In 2024, however, organizations are using large language models (LLMs), which require relatively little focus on NLP, shifting research and development from modeling to the infrastructure needed to support LLM workflows. This often means the method of using a third-party LLM API won’t do for security, control, and scale reasons.

ML 99

ML Python Data Scientist Deep Learning 99

Unite.AI

AUGUST 4, 2023

This, coupled with the challenges of understanding AI concepts and complex algorithms, contributes to the learning curve associated with developing applications using LLMs. Nevertheless, the integration of LLMs with other tools to form LLM-powered applications could redefine our digital landscape.

Prompt Engineer 245

Prompt Engineer Prompt Engineering Python NLP 245

Snorkel AI

OCTOBER 17, 2023

The work involved in training something like a BERT model and a large language model is very similar. The AI development game is going to be a lot more architecting evaluation benchmarks, versus the model itself. Snorkel will host the Enterprise LLMs Virtual Summit on October 26. But that part was challenging.

Large Language Models 64

Large Language Models NLP Prompt Engineer Prompt Engineering 64

Snorkel AI

OCTOBER 17, 2023

The work involved in training something like a BERT model and a large language model is very similar. The AI development game is going to be a lot more architecting evaluation benchmarks, versus the model itself. Snorkel will host the Enterprise LLMs Virtual Summit on October 26. But that part was challenging.

Large Language Models 59

Large Language Models NLP Prompt Engineer Prompt Engineering 59