Towards AI

DECEMBER 28, 2023

The introduction of attention mechanisms has notably altered our approach to working with deep learning algorithms, leading to a revolution in the realms of computer vision and natural language processing (NLP). In 2023, we witnessed the substantial transformation of AI, marking it as the ‘year of AI.’

Large Language Models 107

Large Language Models Natural Language Processing Prompt Engineer Prompt Engineering 107

Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries. Prompt engineering is crucial to steering LLMs effectively.

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Large Language Models Prompt Engineer Prompt Engineering LLM 130

Artificial Corner

JULY 30, 2023

Photo by Shubham Dhage on Unsplash Introduction Large language Models (LLMs) are a subset of Deep Learning. Image by YouTube video “Introduction to large language models” on YouTube Channel “Google Cloud Tech” What are Large Language Models? Natural Language Processing (NLP) is a subfield of artificial intelligence.

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Large Language Models LLM Natural Language Processing Deep Learning 85

The MLOps Blog

FEBRUARY 15, 2024

Due to the rise of LLMs and the shift towards pre-trained models and prompt engineering, specialists in traditional NLP approaches are particularly at risk. Data scientists and NLP specialists can move towards analytical roles or into engineering to stay relevant. Who are the people most at risk of being laid off?

NLP 59

NLP Natural Language Processing Data Scientist Software Engineer 59

Flipboard

DECEMBER 6, 2023

Tools like LangChain , combined with a large language model (LLM) powered by Amazon Bedrock or Amazon SageMaker JumpStart , simplify the implementation process. Tools like LangChain , combined with a large language model (LLM) powered by Amazon Bedrock or Amazon SageMaker JumpStart , simplify the implementation process.

BERT 128

BERT Large Language Models Artificial Intelligence Artificial Intelligence 128

Unite.AI

AUGUST 8, 2023

These advanced AI deep learning models have seamlessly integrated into various applications, from Google's search engine enhancements with BERT to GitHub’s Copilot, which harnesses the capability of Large Language Models (LLMs) to convert simple code snippets into fully functional source codes. How Are LLMs Used?

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Generative AI ChatGPT Neural Network Convolutional Neural Networks 243

ODSC - Open Data Science

NOVEMBER 8, 2023

In this blog, we’ll explore ten key aspects of building generative AI applications, including large language model basics, fine-tuning, and core NLP competencies. Prompt Engineering Another buzzword you’ve likely heard of lately, prompt engineering means designing inputs for LLMs once they’re developed.

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering LLM 52

Heartbeat

MARCH 19, 2024

Introduction Large language models (LLMs) have emerged as a driving catalyst in natural language processing and comprehension evolution. As the need for more powerful language models grows, so does the need for effective scaling techniques. Popular LLMs include Falcon 40B, GPT-4, LLaMa 2, and BERT.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Natural Language Processing 52

Towards AI

JANUARY 30, 2024

GPT4, Stable Diffusion, Llama, BERT, Gemini Large Language Models (LLMs) Foundation models, trained on the “Transformer Architecture”, that can perform a wide array of Natural Language Processing (NLP) tasks like text generation, classification, summarisation etc. Examples: GPT 3.5,

Generative AI 85

Generative AI LLM Prompt Engineer Prompt Engineering 85

Unite.AI

SEPTEMBER 25, 2023

However, as technology advanced, so did the complexity and capabilities of AI music generators, paving the way for deep learning and Natural Language Processing (NLP) to play pivotal roles in this tech. Initially, the attempts were simple and intuitive, with basic algorithms creating monotonous tunes.

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Generative AI Deep Learning AI AI 296

Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. Transformers and Advanced NLP Models : The introduction of transformer architectures revolutionized the NLP landscape.

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Auto-complete ChatGPT Large Language Models AI 240

IBM Journey to AI blog

FEBRUARY 13, 2024

They are now capable of natural language processing ( NLP ), grasping context and exhibiting elements of creativity. The quality of outputs depends heavily on training data, adjusting the model’s parameters and prompt engineering, so responsible data sourcing and bias mitigation are crucial.

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Generative AI AI AI Chatbots 297

deepsense.ai

FEBRUARY 6, 2024

Illustration of a few-shot segmentation process. Segment Anything Model (SAM) Inspired by the success of prompting techniques utilized in the field of natural language processing, researchers from Meta AI proposed the Segment Anything Model (SAM), which aims to perform image segmentation based on segmentation prompts.

Prompt Engineer 99

Prompt Engineer Prompt Engineering NLP Computer Vision 99

Topbots

JUNE 6, 2023

In October 2022, I published an article on LLM selection for specific NLP use cases , such as conversation, translation and summarisation. These frameworks allow to integrate plugins and agents into complex chains of generations and actions to implement complex processes that include multi-step reasoning and execution.

LLM 105

LLM ChatGPT Prompt Engineer Prompt Engineering 105

Heartbeat

JANUARY 9, 2024

Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and natural language processing (NLP). Open-Source Models: Open-source models are large language models made available to the public with their source code.

Large Language Models 52

Large Language Models Natural Language Processing LLM Machine Learning 52

Snorkel AI

MAY 25, 2023

A brief history of large language models Large language models grew out of research and experiments with neural networks to allow computers to process natural language. In the 2010s, this research intersected with the then-bustling field of neural networks, setting the ground for the first large language model.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Snorkel AI

MAY 25, 2023

A brief history of large language models Large language models grew out of research and experiments with neural networks to allow computers to process natural language. In the 2010s, this research intersected with the then-bustling field of neural networks, setting the ground for the first large language model.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Heartbeat

OCTOBER 5, 2023

The emergence of Large Language Models (LLMs) like OpenAI's GPT , Meta's Llama , and Google's BERT has ushered in a new era in this field. These LLMs can generate human-like text, understand context, and perform various Natural Language Processing (NLP) tasks.

Large Language Models 52

Large Language Models DevOps Prompt Engineer Prompt Engineering 52

AWS Machine Learning Blog

MAY 31, 2023

Large language models In recent years, language models have seen a huge surge in size and popularity. In 2018, BERT-large made its debut with its 340 million parameters and innovative transformer architecture, setting the benchmark for performance on NLP tasks. Each question should have 4 options.

Automation 66

Automation Python Prompt Engineer Prompt Engineering 66

Chatbots Life

MAY 12, 2023

The goal of this article is to demystify ChatGPT showing how it works and why is it that effective, describing what are language modes, why are they so popular and what is their problem. We will discuss how models such as ChatGPT will affect the work of software engineers and ML engineers.

ChatGPT 105

ChatGPT Software Engineer NLP Prompt Engineer 105

Explosion

MAY 17, 2023

A lot of people are building truly new things with Large Language Models (LLMs), like wild interactive fiction experiences that weren’t possible before. But if you’re working on the same sort of Natural Language Processing (NLP) problems that businesses have been trying to solve for a long time, what’s the best way to use them?

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LLM NLP Large Language Models OpenAI 135

deepsense.ai

NOVEMBER 14, 2023

In short, EDS is the problem of the widespread lack of a rational approach to and methodology for the objective, automated and quantitative evaluation of performance in terms of generative model finetuning and prompt engineering for specific downstream GenAI tasks related to practical business applications. Garrido-Merchán E.C.,

Generative AI 100

Generative AI ML Prompt Engineer Prompt Engineering 100

Applied Data Science

DECEMBER 23, 2022

In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. The debate was on again: maybe language generation is really just a prediction task?

Neural Network 52

Neural Network AI AI Data Science 52

AWS Machine Learning Blog

NOVEMBER 1, 2023

accuracy on the development set, while its counterpart bert-base-uncased boasts an accuracy of 92.7%. He is a dedicated applied AI/ML researcher, concentrating on CV, NLP, and multimodality. This model achieves a 91.3% The Hugging Face Hub provides access to over 1,000 pre-trained text classification models.

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Auto-classification LLM Auto-complete Generative AI 87