AssemblyAI

MAY 23, 2023

ChatGPT is part of a group of AI systems called Large Language Models (LLMs) , which excel in various cognitive tasks involving natural language. Large Language Models In recent years, LLM development has seen a significant increase in size, as measured by the number of parameters.

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ODSC - Open Data Science

JANUARY 29, 2024

The role of prompt engineer has attracted massive interest ever since Business Insider released an article last spring titled “ AI ‘Prompt Engineer Jobs: $375k Salary, No Tech Backgrund Required.” It turns out that the role of a Prompt Engineer is not simply typing questions into a prompt window.

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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). The way we create and manage AI-powered products is evolving because of LLMs. BERT and GPT are examples.

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Large Language Models Natural Language Processing LLM Machine Learning 52

Marktechpost

MAY 30, 2024

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Its AI courses provide valuable knowledge and hands-on experience, helping learners build and optimize AI models, understand advanced AI concepts, and apply AI solutions to real-world problems.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 114

Snorkel AI

MAY 25, 2023

Since the public unveiling of ChatGPT, large language models (or LLMs) have had a cultural moment. But what are large language models? Table of contents What are large language models (LLMs)? First, the model converts each token in the prompt into its embedding.

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Large Language Models BERT Neural Network LLM 52

Snorkel AI

MAY 25, 2023

Since the public unveiling of ChatGPT, large language models (or LLMs) have had a cultural moment. But what are large language models? Table of contents What are large language models (LLMs)? First, the model converts each token in the prompt into its embedding.

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Large Language Models BERT Neural Network LLM 52

Marktechpost

NOVEMBER 26, 2023

Among the daily deluge of news about new advancements in Large Language Models (LLMs), you might be asking, “how do I train my own?” ” Today, an LLM tailored to your specific needs is becoming an increasingly vital asset, but their ‘Large’ scale comes with a price.

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LLM BERT Large Language Models Prompt Engineer 138

Heartbeat

AUGUST 2, 2023

Introduction to LLMs LLM in the sphere of AI Large language models (often abbreviated as LLMs) refer to a type of artificial intelligence (AI) model typically based on deep learning architectures known as transformers. Benefits of Using Language Models 1.

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Large Language Models Prompt Engineer Prompt Engineering OpenAI 52

Marktechpost

APRIL 16, 2024

LangChain is an open-source framework that allows developers to build LLM-based applications easily. It provides for easily connecting LLMs with external data sources to augment the capabilities of these models and achieve better results. It teaches how to build LLM-powered applications using LangChain using hands-on exercises.

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Large Language Models Prompt Engineer Prompt Engineering Auto-complete 90

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. Expand your skillset by… courses.analyticsvidhya.com 2.

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Large Language Models Natural Language Processing Prompt Engineer Prompt Engineering 107

Marktechpost

APRIL 1, 2024

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. It provides codes for working with various models, such as GPT-4, BERT, T5, etc.,

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ChatGPT Large Language Models Prompt Engineer Prompt Engineering 98

Unite.AI

AUGUST 8, 2023

Generative AI Types: Text to Text, Text to Image Transformers & LLM The paper “ Attention Is All You Need ” by Google Brain marked a shift in the way we think about text modeling. Large Language Models (LLMs) like GPT-4, Bard, and LLaMA, are colossal constructs designed to decipher and generate human language, code, and more.

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Heartbeat

MARCH 19, 2024

Introduction Large language models (LLMs) have emerged as a driving catalyst in natural language processing and comprehension evolution. LLM use cases range from chatbots and virtual assistants to content generation and translation services. What are Large Language Models?

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Large Language Models Prompt Engineer Prompt Engineering Natural Language Processing 52

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. Companies have been using language technologies for many years now, often with mixed success. One vision for how LLMs can be used is what I’ll term LLM maximalist.

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LLM NLP Large Language Models OpenAI 135

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. Generative AI pushes autoregressive models, while autoencoding models are waiting for their moment. Open-source competes with for-profits, spurring innovation in LLM efficiency and scaling.

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LLM ChatGPT Prompt Engineer Prompt Engineering 105

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. What is LLM distillation?

LLM 52

LLM Data Scientist Neural Network Data Science 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. What is LLM distillation?

LLM 52

LLM Data Scientist Neural Network Data Science 52

Mlearning.ai

JULY 24, 2023

In Generative AI projects, there are five distinct stages in the lifecycle, centred around a Large Language Model 1️⃣ Pre-training : This involves building an LLM from scratch. The likes of BERT, GPT4, Llama 2, have undergone pre-training on a large corpus of data. None of the model weights are touched.

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Generative AI Prompt Engineer Prompt Engineering Large Language Models 52

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. These multi-level approaches are advantageous when dealing with text with tokens longer than the limit of an LLM, enabling an understanding of complex narratives.

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BERT Large Language Models Artificial Intelligence Artificial Intelligence 128

Towards AI

JANUARY 30, 2024

The 12 groups are as follows — Types of Models Common LLM Terms LLM Lifecycle Stages LLM Evaluations LLM Architecture Retrieval Augmented Generation (RAG) LLM Agents LMM Architecture Cost & Efficiency LLM Security Deployment & Inference A list of providers supporting LLMOps Like the generative AI space, this taxonomy is also evolving.

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Generative AI LLM Prompt Engineer Prompt Engineering 85

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. LLM Basics First and foremost, you need to understand the basics of generative AI and LLMs, such as key terminology, uses, potential issues, and primary frameworks.

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering LLM 52

Mlearning.ai

JANUARY 17, 2024

95x: Generative AI history 600+: Key Technological Concepts 2,350+: Models & Mediums — Text, Image, Video, Sound, Code, etc. The foundations for today’s generative language applications were elaborated in the 1990s ( Hochreiter , Schmidhuber ), and the whole field took off around 2018 ( Radford , Devlin , et al.).

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Generative AI Prompt Engineer Prompt Engineering Large Language Models 98

Unite.AI

AUGUST 28, 2023

Transformers and Advanced NLP Models : The introduction of transformer architectures revolutionized the NLP landscape. Systems like ChatGPT by OpenAI, BERT, and T5 have enabled breakthroughs in human-AI communication. The diagram visualizes the architecture of an AI system powered by a Large Language Model and Agents.

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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.

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Large Language Models DevOps Prompt Engineer Prompt Engineering 52

Snorkel AI

AUGUST 17, 2023

While Snorkel has worked with partners to build valuable applications using image and cross-modal genAI models, this post will focus exclusively on large language models. The latter will map the model’s outputs to final labels and significantly ease the data preparation process. Sends the prompt to the LLM.

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Generative AI BERT LLM Prompt Engineer 52

Snorkel AI

AUGUST 17, 2023

While Snorkel has worked with partners to build valuable applications using image and cross-modal genAI models, this post will focus exclusively on large language models. The latter will map the model’s outputs to final labels and significantly ease the data preparation process. Sends the prompt to the LLM.

Generative AI 52

Generative AI BERT LLM Prompt Engineer 52

AWS Machine Learning Blog

DECEMBER 22, 2023

We start off with a baseline foundation model from SageMaker JumpStart and evaluate it with TruLens , an open source library for evaluating and tracking large language model (LLM) apps. These functions can be implemented in several ways, including BERT-style models, appropriately prompted LLMs, and more.

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LLM Large Language Models Prompt Engineer Prompt Engineering 88

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. The rapid advancements of Large Language Models (LLMs) are changing the day-to-day work of ML practitioners and how company leadership thinks about AI.

NLP 59

NLP Natural Language Processing Data Scientist Software Engineer 59

Snorkel AI

MARCH 2, 2023

Ali Arsanjani, director of cloud partner engineering at Google Cloud , presented a talk entitled “Challenges and Ethics of DLM and LLM Adoption in the Enterprise” at Snorkel AI’s recent Foundation Model Virtual Summit. The foundation of large language models started quite some time ago.

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Snorkel AI

MARCH 2, 2023

Ali Arsanjani, director of cloud partner engineering at Google Cloud , presented a talk entitled “Challenges and Ethics of DLM and LLM Adoption in the Enterprise” at Snorkel AI’s recent Foundation Model Virtual Summit. The foundation of large language models started quite some time ago.

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Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

AWS Machine Learning Blog

MAY 31, 2023

In this post, we present a comprehensive guide of deploying a multiple-choice quiz solution for the FAQ pages of any AWS service, based on the AI21 Jurassic-2 Jumbo Instruct foundation model on Amazon SageMaker Jumpstart. Large language models In recent years, language models have seen a huge surge in size and popularity.

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Automation Python Prompt Engineer Prompt Engineering 66

AWS Machine Learning Blog

NOVEMBER 1, 2023

Visual language processing (VLP) is at the forefront of generative AI, driving advancements in multimodal learning that encompasses language intelligence, vision understanding, and processing. Central to the architecture are the fine-tuned VLM and LLM, both instrumental in decoding visual and textual data streams.

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Auto-classification LLM Auto-complete Generative AI 87

Snorkel AI

OCTOBER 17, 2023

How does BloombergGPT, which was purpose-built for finance, differ in its training and design from generic large language models ? If you look at recent announcements from companies about new large language models, the training-data mix and distribution is often one of the pieces they keep most secret.

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Large Language Models NLP Prompt Engineer Prompt Engineering 64

Snorkel AI

OCTOBER 17, 2023

How does BloombergGPT, which was purpose-built for finance, differ in its training and design from generic large language models ? If you look at recent announcements from companies about new large language models, the training-data mix and distribution is often one of the pieces they keep most secret.

Large Language Models 59

Large Language Models NLP Prompt Engineer Prompt Engineering 59

Topbots

JUNE 29, 2023

In this article, we will consider the different implementation aspects of Text2SQL and focus on modern approaches with the use of Large Language Models (LLMs), which achieve the best performance as of now (cf. [2]; 2]; for a survey over alternative approaches beyond LLMs, readers are referred to [3]).

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