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 81

LLM AI AI Data Scientist 81

Unite.AI

MARCH 11, 2024

Unlike older AI systems that use just one AI model like the Transformer based LLM, CAS emphasizes integration of multiple tools. Interpretable and Explainable: Using multiple components allows us to interpret how each component contributes to the final output, making these systems interpretable and transparent.

AI Modeling 303

AI Modeling Neural Network Large Language Models AI 303

Unite.AI

JULY 4, 2024

Google Open Source LLM Gemma In this comprehensive guide, we'll explore Gemma 2 in depth, examining its architecture, key features, and practical applications. Here's how you can use it: <div class="relative flex flex-col rounded-lg"> <div class="text-text-300 absolute pl-3 pt-2.5

Large Language Models 312

Large Language Models LLM Natural Language Processing Explainability 312

Towards AI

JANUARY 16, 2025

This week, we explore LLM optimization techniques that can make building LLMs from scratch more accessible with limited resources. It begins by explaining GANs using logistic regression on tabular data, making the concept more accessible. It explains that effective AI agents rely on three pillars: reasoning, acting, and memory.

Explainability 98

Explainability Natural Language Processing Automation Large Language Models 98

Towards AI

APRIL 9, 2024

Large language models (LLMs) have transformed the field of natural language processing with their advanced capabilities and highly sophisticated solutions. Introduction to LLM Fine-Tuning 1.1. The Novice’s LLM Training Guide1.2. Fine-Tuning LLMs: Overview, Methods, and Best Practices 1.3.

Large Language Models 105

Large Language Models LLM Natural Language Processing Explainability 105

AWS Machine Learning Blog

DECEMBER 5, 2024

For use cases where accuracy is critical, customers need the use of mathematically sound techniques and explainable reasoning to help generate accurate FM responses. You can now use an LLM-as-a-judge (in preview) for model evaluations to perform tests and evaluate other models with human-like quality on your dataset.

Responsible AI 105

Responsible AI AI Tools AI AI 105

AWS Machine Learning Blog

DECEMBER 23, 2024

In this post, we explore why GraphRAG is more comprehensive and explainable than vector RAG alone, and how you can use this approach using AWS services and Lettria. Implementing GraphRAG from scratch usually requires a process similar to the following diagram.

Generative AI 125

Generative AI Natural Language Processing Prompt Engineer Prompt Engineering 125

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

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 need to train the LLM but one only has to think about Prompt design.

Large Language Models 98

Large Language Models LLM Natural Language Processing Deep Learning 98

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 126

LLM ML Generative AI Machine Learning 126

Unite.AI

NOVEMBER 1, 2023

Today, we're going to discuss ChatDev, a Large Language Model (LLM) based, innovative approach that aims to revolutionize the field of software development. This paradigm seeks to eliminate the need for specialized models during each phase of the development process. There are two major causes of code hallucinations.

Software Development 264

Software Development Large Language Models LLM Natural Language Processing 264

Unite.AI

MAY 31, 2023

Since LLM neurons offer rich connections that can express more information, they are smaller in size compared to regular NNs. Hence, it becomes easier for researchers to explain how an LNN reached a decision. Hence, LNNs don’t require vast amounts of labeled training data to generate accurate results.

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Neural Network Convolutional Neural Networks Artificial Intelligence Artificial Intelligence 354

Becoming Human

APRIL 19, 2024

Towards Improving the Safety of LLMs The field of Natural Language Processing has undergone a revolutionary transformation with the advent of Large Language Models (LLMs). An ideal defense strategy should make the LLM safe against the unsafe inputs without making it over-defensive on the safe inputs.

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LLM Large Language Models Algorithm Natural Language Processing 111

AWS Machine Learning Blog

MARCH 18, 2025

This transcription then serves as the input for a powerful LLM, which draws upon its vast knowledge base to provide personalized, context-aware responses tailored to your specific situation. LLM integration The preprocessed text is fed into a powerful LLM tailored for the healthcare and life sciences (HCLS) domain.

LLM 82

LLM NLP Data Integration AI 82

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

O'Reilly Media

NOVEMBER 19, 2024

Also, in place of expensive retraining or fine-tuning for an LLM, this approach allows for quick data updates at low cost. See the primary sources “ REALM: Retrieval-Augmented Language Model Pre-Training ” by Kelvin Guu, et al., While the overall process may be more complicated in practice, this is the gist.

LLM 127

LLM NLP Hybrid AI Large Language Models 127

Marktechpost

APRIL 21, 2024

Introduction to Generative AI: This course provides an introductory overview of Generative AI, explaining what it is and how it differs from traditional machine learning methods. It introduces learners to responsible AI and explains why it is crucial in developing AI systems.

Artificial Intelligence 137

Artificial Intelligence Artificial Intelligence BERT Large Language Models 137

IBM Journey to AI blog

OCTOBER 16, 2023

The rise of the foundation model ecosystem (which is the result of decades of research in machine learning), natural language processing (NLP) and other fields, has generated a great deal of interest in computer science and AI circles. ” Are foundation models trustworthy? .”

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Metadata Explainability Automation Explainable AI 220

NVIDIA

OCTOBER 23, 2024

70B NVIDIA NIM microservice, running on NVIDIA DGX systems , which accelerated LLM inference 4x compared with the native model. Powered by NVIDIA NeMo platform -based natural language processing, AMRSense is designed to be used in hospital and community settings.

LLM 116

LLM Generative AI Natural Language Processing Computer Vision 116

Towards AI

FEBRUARY 6, 2025

While it is early, this class of reasoning-powered agents is likely to progress LLM adoption and economic impact to the next level. It details the underlying Transformer architecture, including self-attention mechanisms, positional embeddings, and feed-forward networks, explaining how these components contribute to Llamas capabilities.

Deep Learning 72

Deep Learning Computer Vision Large Language Models Explainability 72

Marktechpost

SEPTEMBER 1, 2023

LLMs have become increasingly popular in the NLP (natural language processing) community in recent years. Scaling neural network-based machine learning models has led to recent advances, resulting in models that can generate natural language nearly indistinguishable from that produced by humans.

Large Language Models 137

Large Language Models Neural Network Natural Language Processing LLM 137

Marktechpost

AUGUST 31, 2024

Large Language Models (LLMs) have demonstrated remarkable capabilities in various natural language processing tasks. This issue undermines the reliability of LLMs and makes hallucination detection a critical area of research.

Large Language Models 127

Large Language Models Categorization LLM Explainability 127

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 91

Categorization ETL Prompt Engineer Prompt Engineering 91

Marktechpost

JUNE 9, 2024

It explains the differences between hand-coded algorithms and trained models, the relationship between machine learning and AI, and the impact of data types on training. Large Language Models This course covers large language models (LLMs), their training, and fine-tuning.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Natural Language Processing Large Language Models 98

Unite.AI

MAY 27, 2024

Another innovative technique is the Tree of Thoughts (ToT) prompting, which allows the LLM to generate multiple lines of reasoning or “thoughts” in parallel, evaluate its own progress towards the solution, and backtrack or explore alternative paths as needed. Python), which can then be executed to produce the final solution.

Prompt Engineering 162

Prompt Engineering Prompt Engineer LLM Auto-complete 162

Towards AI

JULY 27, 2024

Claude AI is an LLM based on the powerful transformer architecture and like OpenAI’s ChatGPT, it can generate text, translate languages, as well as write different kinds of compelling content. This means it can explain the reasoning and decision-making process behind all of its responses. Let’s compare. So, enroll now.

ChatGPT 119

ChatGPT Prompt Engineer Prompt Engineering Explainability 119

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

JULY 26, 2023

Prompt Design Prompt design, at its core, is the art and science of creating the perfect prompt for a given large language model (LLM), like ChatGPT, to achieve a clearly stated goal. It's a blend of: Understanding of the LLM: Different language models may respond variably to the same prompt.

Prompt Engineering 246

Prompt Engineering Prompt Engineer ChatGPT Large Language Models 246

AWS Machine Learning Blog

FEBRUARY 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. Monitoring the performance and behavior of LLMs is a critical task for ensuring their safety and effectiveness.

Large Language Models 133

Large Language Models LLM Big Data Machine Learning 133

Marktechpost

MAY 30, 2024

Natural Language Processing on Google Cloud This course introduces Google Cloud products and solutions for solving NLP problems. Introduction to Generative AI This introductory microlearning course explains Generative AI, its applications, and its differences from traditional machine learning.

Artificial Intelligence 131

Artificial Intelligence Artificial Intelligence BERT Computer Vision 131

Marek Rei

NOVEMBER 4, 2024

I have written short summaries of 68 different research papers published in the areas of Machine Learning and Natural Language Processing. link] The paper investigates LLM robustness to prompt perturbations, measuring how much task performance drops for different models with different attacks. ArXiv 2023.

Machine Learning 80

Machine Learning NLP Large Language Models LLM 80

Marktechpost

SEPTEMBER 12, 2023

With the constant advancements in the field of Artificial Intelligence, its subfields, including Natural Language Processing, Natural Language Generation, Natural Language Understanding, and Computer Vision, are getting significantly popular. Secondly, it provides an Iterative Solution Generation.

Large Language Models 121

Large Language Models Natural Language Processing Computer Vision Artificial Intelligence 121

Towards AI

AUGUST 7, 2023

I experimented with breaking LLM safety. GPT4 explained to me how to hurt someone. In recent years, Large Language Models (LLMs) have revolutionized various industries, from natural language processing to creative writing and customer service. Originally published on Towards AI.

Natural Language Processing 97

Natural Language Processing Large Language Models Explainability LLM 97

Unite.AI

MAY 16, 2024

Some argue it’s random neuronal activity , others say it’s to process the day’s events and a few claim it’s your unconscious needs and desires surfacing. However, none can help explain the specific meaning behind each of your nighttime visions. Realistically, it’s probably a combination of multiple ideas.

AI 162

AI AI Algorithm LLM 162

IBM Journey to AI blog

AUGUST 1, 2023

A foundation model is built on a neural network model architecture to process information much like the human brain does. A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks. An open-source model, Google created BERT in 2018.

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Generative AI Data Scientist Machine Learning BERT 176

AWS Machine Learning Blog

MARCH 14, 2025

Finally, metrics such as ROUGE and F1 can be fooled by shallow linguistic similarities (word overlap) between the ground truth and the LLM response, even when the actual meaning is very different. Now that weve explained the key features, we examine how these capabilities come together in a practical implementation.

Generative AI 82

Generative AI Responsible AI Automation LLM 82

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 122

Automation Prompt Engineer Prompt Engineering Categorization 122