Analytics Vidhya

MAY 8, 2023

Large language models (LLM) such as GPT-4 have significantly progressed in natural language processing and generation. These models are capable of generating high-quality text with remarkable fluency and coherence. However, they often fail when tasked with complex operations or logical reasoning.

ChatGPT 288

ChatGPT Natural Language Processing Large Language Models LLM 288

AWS Machine Learning Blog

APRIL 21, 2025

In this blog post, we discuss how Prompt Optimization improves the performance of large language models (LLMs) for intelligent text processing task in Yuewen Group. Evolution from Traditional NLP to LLM in Intelligent Text Processing Yuewen Group leverages AI for intelligent analysis of extensive web novel texts.

LLM 58

LLM Prompt Engineer Prompt Engineering NLP 58

Topbots

JULY 24, 2023

Harnessing the full potential of AI requires mastering prompt engineering. This article provides essential strategies for writing effective prompts relevant to your specific users. The strategies presented in this article, are primarily relevant for developers building large language model (LLM) applications.

Prompt Engineer 98

Prompt Engineer Prompt Engineering LLM ChatGPT 98

Marktechpost

APRIL 12, 2025

Large Language Models (LLMs) have revolutionized natural language processing, with abilities on complex zero-shot tasks through extensive training data and vast parameters. However, LLMs often struggle with knowledge-intensive tasks due to limited task-specific prior knowledge and understanding capabilities.

LLM 80

LLM Large Language Models Natural Language Processing Prompt Engineer 80

Unite.AI

OCTOBER 19, 2023

GPT-4 is a type of LLM called an auto-regressive model which is based on the transformers model. How LLM generates output Once GPT-4 starts giving answers, it uses the words it has already created to make new ones. Even small changes in the prompt can make the model give very different answers. This is called prompt engineering.

Prompt Engineer 272

Prompt Engineer Prompt Engineering Large Language Models Natural Language Processing 272

Flipboard

MARCH 31, 2025

Flows empower users to define sophisticated workflows that combine regular code, single LLM calls, and potentially multiple crews, through conditional logic, loops, and real-time state management. Amazon Bedrock manages prompt engineering, memory, monitoring, encryption, user permissions, and API invocation.

LLM 177

LLM Automation Generative AI AI Automation 177

Unite.AI

SEPTEMBER 7, 2023

Today, there are numerous proprietary and open-source LLMs in the market that are revolutionizing industries and bringing transformative changes in how businesses function. Despite rapid transformation, there are numerous LLM vulnerabilities and shortcomings that must be addressed.

LLM 167

LLM Large Language Models Prompt Engineer Prompt Engineering 167

ODSC - Open Data Science

SEPTEMBER 19, 2023

Prompt engineers are responsible for developing and maintaining the code that powers large language models or LLMs for short. But to make this a reality, prompt engineers are needed to help guide large language models to where they need to be. But what exactly is a prompt engineer ?

Prompt Engineer 98

Prompt Engineer Prompt Engineering Large Language Models Software Engineer 98

AWS Machine Learning Blog

FEBRUARY 21, 2025

Fine-tuning a pre-trained large language model (LLM) allows users to customize the model to perform better on domain-specific tasks or align more closely with human preferences. Continuous fine-tuning also enables models to integrate human feedback, address errors, and tailor to real-world applications.

LLM 94

LLM AI AI Data Scientist 94

ODSC - Open Data Science

AUGUST 29, 2023

With that said, companies are now realizing that to bring out the full potential of AI, prompt engineering is a must. So we have to ask, what kind of job now and in the future will use prompt engineering as part of its core skill set?

Prompt Engineer 98

Prompt Engineer Prompt Engineering Large Language Models Natural Language Processing 98

Marktechpost

JULY 4, 2023

For the unaware, ChatGPT is a large language model (LLM) trained by OpenAI to respond to different questions and generate information on an extensive range of topics. It can translate multiple languages, generate unique and creative user-specific content, summarize long text paragraphs, etc. What is prompt engineering?

Prompt Engineer 111

Prompt Engineer Prompt Engineering Artificial Intelligence Artificial Intelligence 111

Towards AI

FEBRUARY 13, 2024

Leading this revolution is ChatGPT, a state-of-the-art large language model (LLM) developed by OpenAI. As a large language model, ChatGPT is built on a vast dataset of language examples, enabling it to understand and generate human-like text with remarkable accuracy.

Prompt Engineer 105

Prompt Engineer Prompt Engineering ChatGPT Large Language Models 105

Unite.AI

APRIL 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by demonstrating remarkable capabilities in generating human-like text, answering questions, and assisting with a wide range of language-related tasks.

Large Language Models 272

Large Language Models Prompt Engineer Prompt Engineering Neural Network 272

AWS Machine Learning Blog

NOVEMBER 15, 2023

Prompt engineering has become an essential skill for anyone working with large language models (LLMs) to generate high-quality and relevant texts. Although text prompt engineering has been widely discussed, visual prompt engineering is an emerging field that requires attention.

Prompt Engineer 115

Prompt Engineer Prompt Engineering Computer Vision Machine Learning 115

Artificial Corner

AUGUST 3, 2023

Prompt engineering in under 10 minutes — theory, examples and prompting on autopilot Master the science and art of communicating with AI. Prompt engineering is the process of coming up with the best possible sentence or piece of text to ask LLMs, such as ChatGPT, to get back the best possible response.

Prompt Engineer 98

Prompt Engineer Prompt Engineering Large Language Models Explainability 98

Unite.AI

JANUARY 2, 2024

Large Language Models (LLMs) have contributed to advancing the domain of natural language processing (NLP), yet an existing gap persists in contextual understanding. This step effectively communicates the information and context with the LLM , ensuring a comprehensive understanding for accurate output generation.

LLM 243

LLM Large Language Models Chatbots Natural Language Processing 243

Marktechpost

JULY 26, 2024

The inherent complexity of SQL syntax and the intricacies involved in database schema understanding make this a significant problem in natural language processing (NLP) and database management. The proposed method in this paper leverages LLMs for Text-to-SQL tasks through two main strategies: prompt engineering and fine-tuning.

LLM 117

LLM Prompt Engineer Prompt Engineering Large Language Models 117

AWS Machine Learning Blog

NOVEMBER 14, 2024

It enables you to privately customize the FM of your choice with your data using techniques such as fine-tuning, prompt engineering, and retrieval augmented generation (RAG) and build agents that run tasks using your enterprise systems and data sources while adhering to security and privacy requirements.

LLM 111

LLM Generative AI Machine Learning Prompt Engineer 111

Unite.AI

MARCH 13, 2024

Introduction The field of natural language processing (NLP) and language models has experienced a remarkable transformation in recent years, propelled by the advent of powerful large language models (LLMs) like GPT-4, PaLM, and Llama.

Natural Language Processing 201

Natural Language Processing Large Language Models Data Scarcity LLM 201

AWS Machine Learning Blog

DECEMBER 5, 2024

Automated Reasoning checks help prevent factual errors from hallucinations using sound mathematical, logic-based algorithmic verification and reasoning processes to verify the information generated by a model, so outputs align with provided facts and arent based on hallucinated or inconsistent data.

Responsible AI 108

Responsible AI AI Tools AI AI 108

Marktechpost

JANUARY 3, 2024

Significance The following are some tools that can used for LLM application development: LangChain LangChain, an open-source framework, empowers developers in AI and machine learning to seamlessly integrate large language models like OpenAI’s GPT-3.5

LLM 126

LLM Large Language Models Machine Learning Chatbots 126

Artificial Corner

JULY 30, 2023

So that’s why I tried in this article to explain LLM in simple or to say general language. Photo by Shubham Dhage on Unsplash Introduction Large language Models (LLMs) are a subset of Deep Learning. No training examples are needed in LLM Development but it’s needed in Traditional Development.

Large Language Models 98

Large Language Models LLM Natural Language Processing Deep Learning 98

AWS Machine Learning Blog

JANUARY 30, 2025

Generate cluster names and answer user queries A prompt engineering technique for Anthropics Claude 3 Haiku on Amazon Bedrock generates descriptive cluster names and answers user queries. Amazon Bedrock provides access to LLMs from a variety of model providers. AML features are added to the prompt template.

Generative AI 78

Generative AI Natural Language Processing Machine Learning Prompt Engineer 78

AWS Machine Learning Blog

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications.

LLM 97

LLM Prompt Engineer Prompt Engineering Generative AI 97

AWS Machine Learning Blog

MARCH 27, 2025

Generative AI supports key use cases such as content creation, summarization, code generation, creative applications, data augmentation, natural language processing, scientific research, and many others. When automation is preferred, using another LLM to assess outputs can be effective.

Categorization 110

Categorization ETL Prompt Engineer Prompt Engineering 110

AWS Machine Learning Blog

JANUARY 4, 2024

One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. Instead of dealing with complex technical code, business users and data analysts can ask questions related to data and insights in plain language.

Prompt Engineer 139

Prompt Engineer Prompt Engineering Generative AI LLM 139

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?

LLM 135

LLM NLP Large Language Models OpenAI 135

AWS Machine Learning Blog

JULY 24, 2024

Large language models (LLMs) have achieved remarkable success in various natural language processing (NLP) tasks, but they may not always generalize well to specific domains or tasks. You may need to customize an LLM to adapt to your unique use case, improving its performance on your specific dataset or task.

LLM 129

LLM ML Generative AI Machine Learning 129

Marktechpost

JANUARY 16, 2025

Large Language Models (LLMs) have become integral to various artificial intelligence applications, demonstrating capabilities in natural language processing, decision-making, and creative tasks. This limitation raises an important question: how can we effectively evaluate LLM behavior with only black-box access?

LLM 107

LLM Natural Language Processing Prompt Engineer Prompt Engineering 107

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). These models are trained on massive amounts of text data to learn patterns and relationships in the language.

Large Language Models 122

Large Language Models Natural Language Processing Deep Learning Prompt Engineer 122

Unite.AI

AUGUST 8, 2023

Processing these numbers through a latent vector gives birth to art that mirrors the complexities of human aesthetics. 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. Supports 13 programming languages.

Generative AI 243

Generative AI ChatGPT Neural Network Convolutional Neural Networks 243

Marktechpost

MAY 28, 2024

Large Language Models (LLMs) have advanced rapidly, especially in Natural Language Processing (NLP) and Natural Language Understanding (NLU). The ReAct prompting method, which integrates reasoning traces with action execution, claims to enhance LLM performance in sequential decision-making.

Large Language Models 126

Large Language Models Prompt Engineer Prompt Engineering LLM 126

Marktechpost

DECEMBER 29, 2023

Often, LLMs exhibit inconsistencies and inaccuracies, manifesting as hallucinations in outputs, which impede their applicability in diverse real-world situations. Traditional methods primarily revolve around refining these models through extensive training on large datasets and prompt engineering.

LLM 117

LLM Large Language Models Natural Language Processing Prompt Engineer 117

Marktechpost

JULY 20, 2023

Natural language processing (NLP) has seen a paradigm shift in recent years, with the advent of Large Language Models (LLMs) that outperform formerly relatively tiny Language Models (LMs) like GPT-2 and T5 Raffel et al. RL offers a natural solution to bridge the gap between the optimized object (e.g.,

LLM 98

LLM AI Researcher AI Research Prompt Engineer 98

Unite.AI

JANUARY 11, 2024

They serve as a core building block in many natural language processing (NLP) applications today, including information retrieval, question answering, semantic search and more. Model Training: Fine-tune a powerful open-source LLM such as Mistral on the synthetic data using contrastive loss.

Large Language Models 144

Large Language Models Prompt Engineer Prompt Engineering BERT 144

AWS Machine Learning Blog

AUGUST 30, 2024

This includes Meta Llama 3, Meta’s publicly available large language model (LLM). Validation and testing – Thorough testing and validation make sure that prompt-engineered models perform reliably and accurately across diverse scenarios, enhancing overall application effectiveness.

Prompt Engineer 89

Prompt Engineer Prompt Engineering Metadata Generative AI 89

AWS Machine Learning Blog

JUNE 25, 2024

From customer service and ecommerce to healthcare and finance, the potential of LLMs is being rapidly recognized and embraced. Businesses can use LLMs to gain valuable insights, streamline processes, and deliver enhanced customer experiences. The raw data is processed by an LLM using a preconfigured user prompt.

Automation 126

Automation Prompt Engineer Prompt Engineering Categorization 126