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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Generative AI ChatGPT Neural Network Convolutional Neural Networks 243

Unite.AI

JANUARY 11, 2024

More recent methods based on pre-trained language models like BERT obtain much better context-aware embeddings. Existing methods predominantly use smaller BERT-style architectures as the backbone model. They are unable to take advantage of more advanced LLMs and related techniques. Adding it provided negligible improvements.

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Large Language Models Prompt Engineering Prompt Engineer BERT 147

Explosion

MAY 17, 2023

I don’t want to undersell how impactful LLMs are for this sort of use-case. You can give an LLM a group of comments and ask it to summarize the texts or identify key themes. One vision for how LLMs can be used is what I’ll term LLM maximalist. If you have some task, you try to ask the LLM to do it as directly as possible.

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LLM NLP Large Language Models OpenAI 135

Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. No training examples are needed in LLM Development but it’s needed in Traditional Development.

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Large Language Models LLM Natural Language Processing Deep Learning 98

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. Transformer Models and BERT Model This course introduces the Transformer architecture and the BERT model, covering components like the self-attention mechanism.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 132

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 167

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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Prompt Engineer Prompt Engineering Data Science LLM 52

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 100

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 Auto-complete Prompt Engineer Prompt Engineering 105

AWS Machine Learning Blog

JUNE 25, 2024

Whether you’re a developer seeking to incorporate LLMs into your existing systems or a business owner looking to take advantage of the power of NLP, this post can serve as a quick jumpstart. Operational efficiency Uses prompt engineering, reducing the need for extensive fine-tuning when new categories are introduced.

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Automation Prompt Engineer Prompt Engineering Categorization 129

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. Learning the basics of transformers which is the core of LLM is imperative for a professional.

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Large Language Models Natural Language Processing Deep Learning Prompt Engineer 122

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 Engineering Prompt Engineer 115

Marktechpost

SEPTEMBER 15, 2024

Large Language Models (LLMs) have revolutionized natural language processing in recent years. The pre-train and fine-tune paradigm, exemplified by models like ELMo and BERT, has evolved into prompt-based reasoning used by the GPT family. SMs play a crucial role in enhancing LLMs through data curation.

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BERT LLM Large Language Models Categorization 122

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., and explains how they work.

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ChatGPT Large Language Models Prompt Engineer Prompt Engineering 119

Ehud Reiter

AUGUST 25, 2024

” BERT/BART/etc can be used in data-to-text, but may not be best approach Around 2020 LSTMs got replaced by fine-tuned transformer language models such as BERT and BART. This is a much better way to build data-to-text and other NLG systems, and I know of several production-quality NLG systems built using BART (etc).

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BERT NLP Natural Language Processing Prompt Engineering 133

The MLOps Blog

SEPTEMBER 26, 2024

TL;DR Hallucinations are an inherent feature of LLMs that becomes a bug in LLM-based applications. Effective mitigation strategies involve enhancing data quality, alignment, information retrieval methods, and prompt engineering. What are LLM hallucinations? In 2022, when GPT-3.5

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LLM Prompt Engineering Prompt Engineer Auto-complete 72

Unite.AI

AUGUST 28, 2023

Systems like ChatGPT by OpenAI, BERT, and T5 have enabled breakthroughs in human-AI communication. Deep learning techniques further enhanced this, enabling sophisticated image and speech recognition. Transformers and Advanced NLP Models : The introduction of transformer architectures revolutionized the NLP landscape.

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Auto-complete ChatGPT Large Language Models Neural Network 240

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 BERT Prompt Engineering 123

AssemblyAI

MAY 23, 2023

Large Language Models In recent years, LLM development has seen a significant increase in size, as measured by the number of parameters. This trend started with models like the original GPT and ELMo, which had millions of parameters, and progressed to models like BERT and GPT-2, with hundreds of millions of parameters.

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Large Language Models Neural Network LLM Chatbots 130

Snorkel AI

FEBRUARY 13, 2024

Large language model distillation isolates LLM performance on a specific task and mirrors its functionality in a smaller format. LLM distillation basics Multi-billion parameter language models pre-trained on millions of documents have changed the world. What is LLM distillation? How does LLM distillation work?

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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. LLM distillation basics Multi-billion parameter language models pre-trained on millions of documents have changed the world. What is LLM distillation? How does LLM distillation work?

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. The model generates a completion on the prompt.

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Generative AI Prompt Engineer Prompt Engineering Large Language Models 52

AWS Machine Learning Blog

JUNE 27, 2024

Because no single large language model (LLM) is perfect for every task, we knew that building a personal AI assistant would require multiple LLMs optimized specifically for a variety of tasks. We performed content filtering and ranking using ColBERTv2 , a BERT-based retrieval model.

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Software Engineer Large Language Models AI AI 129

AWS Machine Learning Blog

NOVEMBER 1, 2023

Combined with large language models (LLM) and Contrastive Language-Image Pre-Training (CLIP) trained with a large quantity of multimodality data, visual language models (VLMs) are particularly adept at tasks like image captioning, object detection and segmentation, and visual question answering.

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Auto-classification LLM Auto-complete Generative AI 124

Bugra Akyildiz

FEBRUARY 9, 2025

It does a deep dive into two reinforcement learning algorithms used in training large language models (LLMs): Proximal Policy Optimization (PPO) Group Relative Policy Optimization (GRPO) LLM Training Overview The training of LLMs is divided into two phases: Pre-training: The model learns next token prediction using large-scale web data.

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LLM Deep Learning Algorithm BERT 52

Mlearning.ai

JANUARY 17, 2024

350x: Application Areas , Companies, Startups 3,000+: Prompts , Prompt Engineering, & Prompt Lists 250+: Hardware, Frameworks , Approaches, Tools, & Data 300+: Achievements, Impacts on Society , AI Regulation, & Outlook 20x: What is Generative AI? In my view, this is one of the weirdest features of LLMs.

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Generative AI Prompt Engineering Prompt Engineer Large Language Models 98

Snorkel AI

AUGUST 17, 2023

Users can easily constrain an LLM’s output with clever prompt engineering. However, this approach comes with one big downside: the prompt must include at least one example for each potential output. Sends the prompt to the LLM. In-context learning. Over thousands of executions, those extra tokens can add up.

Generative AI 52

Generative AI BERT LLM Prompt Engineering 52

Snorkel AI

AUGUST 17, 2023

Users can easily constrain an LLM’s output with clever prompt engineering. However, this approach comes with one big downside: the prompt must include at least one example for each potential output. Sends the prompt to the LLM. In-context learning. Over thousands of executions, those extra tokens can add up.

Generative AI 52

Generative AI BERT LLM Prompt Engineering 52

Snorkel AI

AUGUST 17, 2023

Users can easily constrain an LLM’s output with clever prompt engineering. However, this approach comes with one big downside: the prompt must include at least one example for each potential output. Sends the prompt to the LLM. In-context learning. Over thousands of executions, those extra tokens can add up.

Generative AI 52

Generative AI BERT LLM Prompt Engineering 52

ODSC - Open Data Science

NOVEMBER 8, 2023

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. Prompt Engineering Another buzzword you’ve likely heard of lately, prompt engineering means designing inputs for LLMs once they’re developed.

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Generative AI Prompt Engineer Prompt Engineering LLM 52

AWS Machine Learning Blog

MAY 31, 2023

In 2018, BERT-large made its debut with its 340 million parameters and innovative transformer architecture, setting the benchmark for performance on NLP tasks. AI21 Jurassic-2 Jumbo Instruct Jurassic-2 Jumbo Instruct is an LLM by AI21 Labs that can be applied to any language comprehension or generation task.

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Automation Python Machine Learning BERT 94

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. Similarly, Google utilizes LLMOps for its next-generation LLM, PaLM 2.

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Large Language Models Prompt Engineer Prompt Engineering Natural Language Processing 52

Snorkel AI

MAY 25, 2023

At inference time, users provide “prompts” to the LLM—snippets of text that the model uses as a jumping-off point. First, the model converts each token in the prompt into its embedding. By making BERT bidirectional, it allowed the inputs and outputs to take each others’ context into account. The new tool caused a stir.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Snorkel AI

MAY 25, 2023

At inference time, users provide “prompts” to the LLM—snippets of text that the model uses as a jumping-off point. First, the model converts each token in the prompt into its embedding. By making BERT bidirectional, it allowed the inputs and outputs to take each others’ context into account. The new tool caused a stir.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

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.

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Prompt Engineer Prompt Engineering Python NLP 245

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. It has become the backbone of many successful language models, like GPT-3, BERT, and their variants.

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Large Language Models Prompt Engineering Prompt Engineer ChatGPT 52

Heartbeat

JANUARY 9, 2024

We must create new tools and best practices to manage the LLM application lifecycle to address these issues. " The LLMOps Steps LLMs, sophisticated artificial intelligence (AI) systems trained on enormous text and code datasets, have changed the game in various fields, from natural language processing to content generation.

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Large Language Models Natural Language Processing LLM Machine Learning 52