Unite.AI

AUGUST 8, 2023

That is Generative AI. Generative models have blurred the line between humans and machines. With the advent of models like GPT-4, which employs transformer modules, we have stepped closer to natural and context-rich language generation. Apple has also dedicated a significant portion of its $22.6

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Unite.AI

DECEMBER 27, 2023

Generative AI is an evolving field that has experienced significant growth and progress in 2023. Generative AI has tremendous potential to revolutionize various industries, such as healthcare, manufacturing, media, and entertainment, by enabling the creation of innovative products, services, and experiences.

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AssemblyAI

JUNE 27, 2023

Until very recently, however, these improvements were still far from the outstanding progress observed in image and text generation. This blog post is part of a series on generative AI. This shift has led to dramatic improvements in speech recognition and several other applications of discriminative AI.

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Unite.AI

FEBRUARY 23, 2024

Prompt engineering is the art and science of crafting inputs (or “prompts”) to effectively guide and interact with generative AI models, particularly large language models (LLMs) like ChatGPT. But what exactly is prompt engineering, and why has it become such a buzzword in the tech community?

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Marktechpost

APRIL 16, 2024

It provides for easily connecting LLMs with external data sources to augment the capabilities of these models and achieve better results. The framework is widely used in building chatbots, retrieval-augmented generation, and document summarization apps.

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AWS Machine Learning Blog

JANUARY 19, 2024

In this post, we demonstrate how to use neural architecture search (NAS) based structural pruning to compress a fine-tuned BERT model to improve model performance and reduce inference times. First, we use an Amazon SageMaker Studio notebook to fine-tune a pre-trained BERT model on a target task using a domain-specific dataset.

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Unite.AI

SEPTEMBER 20, 2023

These are deep learning models used in NLP. This discovery fueled the development of large language models like ChatGPT. Large language models or LLMs are AI systems that use transformers to understand and create human-like text. We choose a BERT model fine-tuned on the SQuAD dataset.

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AI Weekly

JANUARY 4, 2024

Sissie Hsiao, Google Sissie Hsiao, Google's vice president and the general manager of Bard and Google Assistant. macdailynews.com The Evolution Of AI Chatbots For Finance And Accounting At the end of 2023, these key components have rapidly merged through the evolution of large language models (LLMs) like ChatGPT and others.

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ODSC - Open Data Science

NOVEMBER 8, 2023

Generative AI is a new field. Over the past year, new terms, developments, algorithms, tools, and frameworks have emerged to help data scientists and those working with AI develop whatever they desire. Do you want a chatbot, a Q&A system, or an image generator? Finally, know what you want it to do in the end.

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Marktechpost

APRIL 1, 2024

Ever since its inception, ChatGPT has taken the world by storm, marking the beginning of the era of generative AI. Although large language models (LLMs) had been developed prior to the launch of ChatGPT, the latter’s ease of accessibility and user-friendly interface took the adoption of LLM to a new level.

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Towards AI

DECEMBER 28, 2023

Here are 11 pillars for building expertise in GenAI: Basics of Python- Python serves as a prominent programming language for working with large language models (LLMs) due to its versatility, extensive libraries, and community support. Mitesh Khapra courses.ai4bharat.org 4.

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Marktechpost

JULY 14, 2023

In the past few months, Generative AI has become increasingly popular. From organizations to AI researchers, everyone is discovering the vast potential Generative AI holds to produce unique and original content, and that too in a wide range of fields. What is Generative AI?

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Topbots

APRIL 11, 2023

In this article, we will delve into the latest advancements in the world of large-scale language models, exploring enhancements introduced by each model, their capabilities, and potential applications. The Most Important Large Language Models (LLMs) in 2023 1. billion word corpus).

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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. These AI agents, transcending chatbots and voice assistants, are shaping a new paradigm for both industries and our daily lives.

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ODSC - Open Data Science

JUNE 9, 2023

It can generate a recipe for chocolate chip cookies, write a Broadway-style song about your kids, and create usable code. Joining in on the fun, we used ChatGPT to help us explore some of the key innovations over the past 50 years of AI. 1966: ELIZA In 1966, a chatbot called ELIZA took the computer science world by storm.

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Unite.AI

AUGUST 1, 2023

The spotlight is also on DALL-E, an AI model that crafts images from textual inputs. One such model that has garnered considerable attention is OpenAI's ChatGPT , a shining exemplar in the realm of Large Language Models. These include few-shot learning, ReAct, chain-of-thought, RAG, and more.

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John Snow Labs

SEPTEMBER 26, 2023

to be precise) of data scientists and engineers plan to deploy Large Language Model (LLM) applications into production in the next 12 months or “as soon as possible.” The whole market for LLMs and generative AI is expected to reach $11.3 According to the data collected by Forbes , over a half (53.3%

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Topbots

OCTOBER 4, 2023

Generated with Bing and edited with Photoshop Predictive AI has been driving companies’ ROI for decades through advanced recommendation algorithms, risk assessment models, and fraud detection tools. However, the recent surge in generative AI has made it the new hot topic.

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Marktechpost

JULY 11, 2023

Introduction Generative AI is evolving and getting popular. Since its introduction, new models and research papers are getting released almost every other day. The major reason for the exponentially increasing popularity is the development of Large Language Models. What is AutoGPT?

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Flipboard

JUNE 20, 2023

A popular example is OpenAI’s ChatGPT, which is powered by a state-of-the-art large language model (LMM). For reference, GPT-3, an earlier generation LLM has 175 billion parameters and requires months of non-stop training on a cluster of thousands of accelerated processors.

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Snorkel AI

OCTOBER 18, 2023

AI reduces time and labor in claims processing Insurance enterprises can leverage AI to solve a number of problems in claims processing, including document review, fraud detection, damage assessment, and customer support. Snorkel leverages: Programmatic labeling to quickly generate high-quality training sets from unstructured data.

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Snorkel AI

OCTOBER 18, 2023

AI reduces time and labor in claims processing Insurance enterprises can leverage AI to solve a number of problems in claims processing, including document review, fraud detection, damage assessment, and customer support. Snorkel leverages: Programmatic labeling to quickly generate high-quality training sets from unstructured data.

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Snorkel AI

MARCH 1, 2023

How do foundation models generate responses? Foundation models underpin generative AI capabilities, from text-generation to music creation to image generation. Some image models use a similar approach, masking a portion of the image and then asking the model to predict what exists within the mask.

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ODSC - Open Data Science

SEPTEMBER 18, 2023

Getting started with natural language processing (NLP) is no exception, as you need to be savvy in machine learning, deep learning, language, and more. Large Language Models Finally, the course concludes with a look at large language models, such as BERT, ELMo, GPT, and ULMFiT.

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Topbots

JULY 6, 2023

If you’d like to skip around, here are the language models we featured: GPT-3 by OpenAI LaMDA by Google PaLM by Google Flamingo by DeepMind BLIP-2 by Salesforce LLaMA by Meta AI GPT-4 by OpenAI If this in-depth educational content is useful for you, you can subscribe to our AI research mailing list to be alerted when we release new material.

LLM 52

LLM Large Language Models Natural Language Processing OpenAI 52

Snorkel AI

AUGUST 24, 2023

By unlocking the rich context hiding in unstructured data such as call transcripts, chat logs, and customer surveys, AI tools can help banks enhance complaint responses through: Chatbots that answer customer questions about complaints and provide initial support. Contact us today to learn more and get started.

Large Language Models 52

Large Language Models AI AI Natural Language Processing 52

Snorkel AI

AUGUST 24, 2023

By unlocking the rich context hiding in unstructured data such as call transcripts, chat logs, and customer surveys, AI tools can help banks enhance complaint responses through: Chatbots that answer customer questions about complaints and provide initial support. Contact us today to learn more and get started.

Large Language Models 52

Large Language Models AI AI Natural Language Processing 52

Snorkel AI

AUGUST 24, 2023

By unlocking the rich context hiding in unstructured data such as call transcripts, chat logs, and customer surveys, AI tools can help banks enhance complaint responses through: Chatbots that answer customer questions about complaints and provide initial support. Contact us today to learn more and get started.

Large Language Models 52

Large Language Models AI AI Natural Language Processing 52

Snorkel AI

MARCH 2, 2023

Today we’re going to be talking essentially about how responsible generative-AI-model adoption can happen at the enterprise level, and what are some of the promises and compromises we face. The foundation of large language models started quite some time ago. So there’s obviously an evolution.

Large Language Models 52

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Snorkel AI

MARCH 2, 2023

Today we’re going to be talking essentially about how responsible generative-AI-model adoption can happen at the enterprise level, and what are some of the promises and compromises we face. The foundation of large language models started quite some time ago. So there’s obviously an evolution.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

Snorkel AI

FEBRUARY 13, 2024

Large language model distillation isolates LLM performance on a specific task and mirrors its functionality in a smaller format. This lets developers get the same results they would get from an enormous model like GPT-4 at a lower cost and higher velocity—albeit only on that specific task. How does LLM distillation work?

LLM 52

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Snorkel AI

FEBRUARY 13, 2024

Large language model distillation isolates LLM performance on a specific task and mirrors its functionality in a smaller format. This lets developers get the same results they would get from an enormous model like GPT-4 at a lower cost and higher velocity—albeit only on that specific task. How does LLM distillation work?

LLM 52

LLM Data Scientist Neural Network Data Science 52

Viso.ai

JANUARY 2, 2024

Llama 2 is here – the latest pre-trained large language model (LLM) by Meta AI, succeeding Llama version 1. Our software helps industry leaders efficiently implement real-world deep learning AI applications with minimal overhead for all downstream tasks. Training Loss for all Llama 2 Models compared.

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Pragnakalp

JANUARY 1, 2024

To utilize these models on Google Colab or a system, a minimum of a 16 GB RAM GPU (T4/V100) is needed. Large Language Model (LLM) is a pre-trained generative text model equipped with 7.3 generative text model. is the key element that makes generative AI so, well, transformational.

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AWS Machine Learning Blog

JUNE 12, 2023

It can support a wide variety of use cases, including text classification, token classification, text generation, question and answering, entity extraction, summarization, sentiment analysis, and many more. GPT-J is a transformer model trained using Ben Wang’s Mesh Transformer JAX. and later) GPT-J (available in the SMP library v1.8.0

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Topbots

JUNE 6, 2023

Specifically, we will cover the topics of task selection for autoregressive models, the evolving trade-offs between commercial and open-source LLMs, as well as LLM integration and the mitigation of failures in production. Generative AI pushes autoregressive models, while autoencoding models are waiting for their moment.

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Snorkel AI

MARCH 19, 2024

Read on to see how Google and Snorkel AI customized PaLM 2 using domain expertise and data development to improve performance by 38 F1 points in a matter of hours. In the landscape of modern enterprise applications, large language models (LLMs) like Google Gemini and PaLM 2 stand at the forefront of transformative technologies.

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