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.

ChatGPT 101

ChatGPT Large Language Models Prompt Engineer Prompt Engineering 101

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.

Large Language Models 109

Large Language Models Natural Language Processing Prompt Engineer Prompt Engineering 109

Unite.AI

AUGUST 1, 2023

GPT-4: Prompt Engineering ChatGPT has transformed the chatbot landscape, offering human-like responses to user inputs and expanding its applications across domains – from software development and testing to business communication, and even the creation of poetry. Imagine you're trying to translate English to French.

Prompt Engineer 246

Prompt Engineer Prompt Engineering ChatGPT Convolutional Neural Networks 246

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.

Generative AI 85

Generative AI LLM Prompt Engineer Prompt Engineering 85

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.

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering Large Language Models 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.

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering LLM 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 Engineer 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 Engineer 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.

Large Language Models 52

Large Language Models Natural Language Processing LLM Machine Learning 52

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.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering OpenAI 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

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 AI 240

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. Even small and relatively weaker LLMs like DistilGPT2 and t5-small have surpassed classical NLP models in understanding context and generating coherent text.

NLP 59

NLP Natural Language Processing Data Scientist Software Engineer 59

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.

Large Language Models 147

Large Language Models Prompt Engineer Prompt Engineering 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.

LLM 135

LLM NLP Large Language Models OpenAI 135

Heartbeat

NOVEMBER 17, 2023

Exact Match Probably the simplest ways to evaluate an LLM or runnable’s string output against a reference label is by a simple string equivalence. Considerations for Choosing a Distance Metric for Text Embeddings: Scale or Magnitude : Embeddings from models like Word2Vec, FastText, BERT, and GPT are often normalized to unit length.

Data Scientist 52

Data Scientist Deep Learning Algorithm 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.

Prompt Engineer 245

Prompt Engineer Prompt Engineering Python NLP 245

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

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.

LLM 93

LLM Large Language Models Prompt Engineer Prompt Engineering 93

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.

Large Language Models 130

Large Language Models Neural Network LLM Chatbots 130

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.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Natural Language Processing 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.

Generative AI 98

Generative AI Prompt Engineer Prompt Engineering Large Language Models 98

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.

Automation 68

Automation Python Prompt Engineer Prompt Engineering 68

Unite.AI

SEPTEMBER 20, 2023

How Hugging Face Facilitates NLP and LLM Projects Hugging Face has made working with LLMs simpler by offering: A range of pre-trained models to choose from. A great resource available through Hugging Face is the Open LLM Leaderboard. We choose a BERT model fine-tuned on the SQuAD dataset.

LLM 342

LLM BERT NLP Python 342

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. Really quickly, LLMs can do many things. Then comes prompt engineering.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

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. Really quickly, LLMs can do many things. Then comes prompt engineering.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

Snorkel AI

OCTOBER 17, 2023

Then, we had a lot of machine-learning and deep-learning engineers. The work involved in training something like a BERT model and a large language model is very similar. That knowledge transfers, but the skillset that you’re operating in, there are unique engineering challenges. But that part was challenging.

Large Language Models 64

Large Language Models NLP Prompt Engineer Prompt Engineering 64

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.

LLM 138

LLM BERT Large Language Models Prompt Engineer 138

Snorkel AI

OCTOBER 17, 2023

Then, we had a lot of machine-learning and deep-learning engineers. The work involved in training something like a BERT model and a large language model is very similar. That knowledge transfers, but the skillset that you’re operating in, there are unique engineering challenges. But that part was challenging.

Large Language Models 59

Large Language Models NLP Prompt Engineer Prompt Engineering 59

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 83

Generative AI ML Prompt Engineer Prompt Engineering 83

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.

BERT 128

BERT Large Language Models Artificial Intelligence Artificial Intelligence 128

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.

Generative AI 243

Generative AI ChatGPT Neural Network Convolutional Neural Networks 243

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.

Auto-classification 92

Auto-classification LLM Auto-complete Generative AI 92

Topbots

JUNE 29, 2023

While you will absolutely need to go for this approach if you want to use Text2SQL on many different databases, keep in mind that it requires considerable prompt engineering effort. 4] In the open-source camp, initial attempts at solving the Text2SQL puzzle were focussed on auto-encoding models such as BERT, which excel at NLU tasks.[5,

Auto-complete 52

Auto-complete Algorithm Data Scientist Auto-classification 52

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

LLM 105

LLM ChatGPT Prompt Engineer Prompt Engineering 105