Towards AI

MAY 13, 2024

Last Updated on May 14, 2024 by Editorial Team Author(s): Marie Stephen Leo Originally published on Towards AI. You just “prompt” the LLM on which topics to respond to and which to decline and let the LLM decide. Join thousands of data leaders on the AI newsletter. Published via Towards AI

NLP 90

NLP Large Language Models LLM Chatbots 90

Unite.AI

SEPTEMBER 7, 2023

In artificial intelligence (AI), the power and potential of Large Language Models (LLMs) are undeniable, especially after OpenAI’s groundbreaking releases such as ChatGPT and GPT-4. Despite rapid transformation, there are numerous LLM vulnerabilities and shortcomings that must be addressed.

LLM 173

LLM Large Language Models Prompt Engineer Prompt Engineering 173

Unite.AI

SEPTEMBER 19, 2023

These open-source options democratize access to advanced AI technology, fostering innovation and inclusivity in the rapidly evolving AI landscape. Hugging Face – Open LLM Leaderboard Why is LLM fine-tuning important?

Large Language Models 298

Large Language Models LLM Neural Network Prompt Engineer 298

Unite.AI

NOVEMBER 23, 2023

Introduction The evolution of open large language models (LLMs) has significantly impacted the AI research community, particularly in developing chatbots and similar applications. Each of these models contributes unique capabilities, enhancing the overall functionality and scope of LLMs.

LLM 301

LLM Large Language Models BERT NLP 301

Analytics Vidhya

MAY 20, 2024

Introduction Artificial intelligence has made tremendous strides in Natural Language Processing (NLP) by developing Large Language Models (LLMs). However, a significant challenge with these models is the phenomenon known as “AI hallucinations.” appeared first on Analytics Vidhya.

Large Language Models 260

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 260

John Snow Labs

AUGUST 22, 2023

John Snow Labs , the award-winning Healthcare AI and NLP company, announced the latest major release of its Spark NLP library – Spark NLP 5 – featuring the highly anticipated support for the ONNX runtime. State-of-the-Art Accuracy, 100% Open Source The Spark NLP Models Hub now includes over 500 ONYX-optimized models.

NLP 98

NLP LLM BERT Large Language Models 98

Analytics Vidhya

JANUARY 24, 2024

Introduction Welcome to the world of Large Language Models (LLM). However, in 2018, the “Universal Language Model Fine-tuning for Text Classification” paper changed the entire landscape of Natural Language Processing (NLP). In the old days, transfer learning was a concept mostly used in deep learning.

Automation 270

Automation Natural Language Processing Large Language Models Deep Learning 270

Marktechpost

APRIL 10, 2024

However, a groundbreaking new development is set to challenge this status quo and usher in a more inclusive era of language models – the Chinese Tiny LLM (CT-LLM). Imagine a world where language barriers are no longer an obstacle to accessing cutting-edge AI technologies. The pretraining corpus comprises an impressive 840.48

LLM 113

LLM Natural Language Processing NLP ML 113

Unite.AI

NOVEMBER 29, 2023

Furthermore, developers have demonstrated that these smaller LLM frameworks can be trained further using a proprietary-models based dSFT or Distilled Supervised Fine-Tuning approach, that uses the output from an effective teacher model as supervised data for the student model in an attempt to boost the accuracy.

LLM 173

LLM Large Language Models Natural Language Processing Artificial Intelligence 173

Ehud Reiter

DECEMBER 19, 2023

Papers mentioned in blogs I have talked about some of the 2023 papers which impressed me in previous blogs, including What LLMs cannot do A bad way to measure hallucination LLM hype brings memories of IBM Watson Future of NLG evaluation: LLMs and high quality human eval? Which is great! D Demszky et al (2023). G Lapalme (2023).

NLP 124

NLP Large Language Models LLM Algorithm 124

Marktechpost

NOVEMBER 14, 2023

Medical data extraction, analysis, and interpretation from unstructured clinical literature are included in the emerging discipline of clinical natural language processing (NLP). Even with its importance, particular difficulties arise while developing methodologies for clinical NLP. If you like our work, you will love our newsletter.

NLP 116

NLP LLM AI Modeling Large Language Models 116

Unite.AI

OCTOBER 25, 2023

In-context learning has emerged as an alternative, prioritizing the crafting of inputs and prompts to provide the LLM with the necessary context for generating accurate outputs. You have the flexibility to customize the underlying Large Language Model (LLM) as per your project needs.

LLM 304

LLM OpenAI Prompt Engineer Prompt Engineering 304

Analytics Vidhya

JULY 28, 2023

Learn to master prompt engineering for LLM applications with LangChain, an open-source Python framework that has revolutionized the creation of cutting-edge LLM-powered applications. Introduction In the digital age, language-based applications play a vital role in our lives, powering various tools like chatbots and virtual assistants.

Prompt Engineer 183

Prompt Engineer Prompt Engineering LLM Python 183

John Snow Labs

MAY 21, 2024

This combination of nine benchmarks challenges AI models to answer thousands of medical licensing exam questions (MedQA), biomedical research questions (PubMedQA), and college-level exams in anatomy, genetics, biology, and medicine (MMLU). Recent research shows that lack of accuracy was the most concerning roadblock to Generative AI adoption.

LLM 98

LLM Large Language Models NLP Responsible AI 98

Marktechpost

FEBRUARY 29, 2024

Existing methods, like direct finetuning of LLMs on user interaction data, show promise in powering various NLP tasks and enhancing user modeling. The researchers from Google research have proposed USER-LLM , a framework integrating user embeddings with LLMs to adapt dynamically to user context.

Artificial Intelligence 116

Artificial Intelligence Artificial Intelligence LLM Large Language Models 116

Unite.AI

APRIL 18, 2024

The field of artificial intelligence (AI) continues to push the boundaries of what was once thought impossible. From self-driving cars to language models that can engage in human-like conversations, AI is rapidly transforming various industries, and software development is no exception.

Software Engineer 261

Software Engineer Software Development LLM AI 261

Analytics Vidhya

MAY 23, 2023

With advanced large […] The post 10 Exciting Projects on Large Language Models(LLM) appeared first on Analytics Vidhya. A portfolio of your projects, blog posts, and open-source contributions can set you apart from other candidates. You can demonstrate your skills by creating smaller projects from start to finish.

Large Language Models 263

Large Language Models LLM Software Development Data Science 263

Marktechpost

MAY 25, 2024

Large Language Models (LLMs) have driven remarkable advancements across various Natural Language Processing (NLP) tasks. These methods aim to improve LLMs’ reasoning capabilities by refining the consistency and accuracy of generated answers. The framework also adapts well to various LLM architectures, including GPT-3.5-Turbo-0301,

LLM 113

LLM Natural Language Processing Large Language Models AI Researcher 113

Becoming Human

APRIL 19, 2024

An ideal defense strategy should make the LLM safe against the unsafe inputs without making it over-defensive on the safe inputs. Figure 1: An ideal defense strategy (bottom) should make the LLM safe against the ‘unsafe prompts’ without making it over-defensive on the ‘safe prompts’. Self-Safety Check of Input (S.

LLM 111

LLM Large Language Models Algorithm Natural Language Processing 111

Marktechpost

MAY 17, 2024

Natural Language Processing (NLP) is a cutting-edge field that enables machines to understand, interpret, & generate human language. Large language models (LLMs) have significantly advanced these applications by leveraging vast data to perform tasks with high accuracy, almost matching human performance.

LLM 134

LLM Large Language Models Natural Language Processing NLP 134

Unite.AI

JANUARY 10, 2024

By integrating the sophisticated language processing capabilities of models like ChatGPT with the versatile and widely-used Scikit-learn framework, Scikit-LLM offers an unmatched arsenal for delving into the complexities of textual data. Why Scikit-LLM? and the user-friendly environment of Scikit-learn. Installation %%capture !pip

Large Language Models 147

Large Language Models LLM Machine Learning Natural Language Processing 147

Towards AI

DECEMBER 29, 2023

Last Updated on December 30, 2023 by Editorial Team Author(s): Lan Chu Originally published on Towards AI. LLMs are not useful if they are not sufficiently accurate. Obviously, the most reliable way to evaluate an LLM system is to create an evaluation dataset and compare the model-generated output with the evaluation set.

LLM 108

LLM NLP AI AI 108

John Snow Labs

SEPTEMBER 5, 2023

Topics Covered Include Large Language Models, Semantic Search, ChatBots, Responsible AI, and the Real-World Projects that Put Them to Work John Snow Labs , the healthcare AI and NLP company and developer of the Spark NLP library, today announced the agenda for its annual NLP Summit, taking place virtually October 3-5.

Natural Language Processing 98

Natural Language Processing NLP Large Language Models Responsible AI 98

The MLOps Blog

MARCH 23, 2023

NLP models in commercial applications such as text generation systems have experienced great interest among the user. These models have achieved various groundbreaking results in many NLP tasks like question-answering, summarization, language translation, classification, paraphrasing, et cetera. For instance, a 1.5B

NLP 115

NLP LLM Large Language Models Natural Language Processing 115

Marktechpost

FEBRUARY 27, 2024

Its development responds to the pressing need for a unified interface that simplifies complex LLM workflows, making them more accessible and manageable for researchers. DataDreamer offers a suite of functionalities that significantly lower the barriers to effective LLM use.

LLM 132

LLM Large Language Models Python NLP 132

Marktechpost

MARCH 6, 2024

The natural language processing (NLP) field has witnessed significant advancements with the emergence of Large Language Models (LLMs) like GPT and LLaMA. These models have become essential tools for various tasks, prompting a growing need for proprietary LLMs among individuals and organizations. Check out the Paper and Github.

LLM 82

LLM Large Language Models Neural Network Natural Language Processing 82

Unite.AI

MAY 16, 2024

Is there a way to use AI to interpret dreams today? Why Would You Need AI to Interpret Dreams? You could find yourself in your grandmother’s living room speaking to Elvis Presley about dog astronauts, and everything would seem normal — understandably, you’d want to make sense of things with AI.

AI 162

AI AI LLM Algorithm 162

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. Since then, AI has made a huge step forward, and in this article, we will review some of the trends of the past months as well as their implications for AI builders.

LLM 105

LLM ChatGPT Prompt Engineer Prompt Engineering 105

Marktechpost

APRIL 12, 2024

Natural Language Processing (NLP) tasks heavily rely on text embedding models as they translate the semantic meaning of text into vector representations. These representations make it possible to quickly complete a variety of NLP tasks, including information retrieval, grouping, and semantic textual similarity. Million AI Audience?

LLM 84

LLM Large Language Models NLP Natural Language Processing 84

Unite.AI

DECEMBER 6, 2023

Reflecting on ChatGPT's first year, it's clear that this tool has significantly changed the AI scene. Launched at the end of 2022, ChatGPT stood out because of its user-friendly, conversational style that made interacting with AI feel more like chatting with a person than a machine. Stronger LLMs like GPT-4 are used as evaluators.

LLM 276

LLM OpenAI ChatGPT AI 276

Marktechpost

MARCH 10, 2024

However, a novel method, Gradient Low-Rank Projection (GaLore), by researchers from the California Institute of Technology, Meta AI, University of Texas at Austin, and Carnegie Mellon University, offers a fresh perspective. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses….

Machine Learning 114

Machine Learning LLM Large Language Models Natural Language Processing 114

AI Weekly

MAY 2, 2024

In the News Coalition of news publishers sue Microsoft and OpenAI A coalition of major news publishers has filed a lawsuit against Microsoft and OpenAI, accusing the tech giants of unlawfully using copyrighted articles to train their generative AI models without permission or payment. Planning a GenAI or LLM project? techmonitor.ai

OpenAI 147

OpenAI Natural Language Processing Robotics LLM 147

Marktechpost

APRIL 6, 2024

Transformers have transformed the field of NLP over the last few years, with LLMs like OpenAI’s GPT series, BERT, and Claude Series, etc. Let’s delve into the role of transformers in NLP and elucidate the process of training LLMs using this innovative architecture. appeared first on MarkTechPost.

Large Language Models 101

Large Language Models NLP Convolutional Neural Networks Neural Network 101

Marktechpost

FEBRUARY 3, 2024

In the dynamic field of Artificial Intelligence (AI), the trajectory from one foundational model to another has represented an amazing paradigm shift. Using a technique known as LLM-as-a-Judge prompting, the language model assesses and rewards its own outputs for doing this. While requiring 2.2

Artificial Intelligence 129

Artificial Intelligence Artificial Intelligence LLM Large Language Models 129

AI Weekly

APRIL 11, 2024

We explore how AI can transform roles and boost performance across business functions, customer operations and software development. The Microsoft AI London outpost will focus on advancing state-of-the-art language models, supporting infrastructure, and tooling for foundation models. No legacy process is safe.

Robotics 207

Robotics Large Language Models Artificial Intelligence Artificial Intelligence 207

ODSC - Open Data Science

OCTOBER 10, 2023

Back in 2020, the world was introduced to OpenAI’s GPT-3, a marvel in the AI domain to many. That innovation wasn’t just a technological leap for AI alignment; it was a demonstration of the power of reinforcement learning to make AI more accessible to everyone.

LLM 98

LLM Large Language Models AI AI 98

Marktechpost

DECEMBER 30, 2023

Language models, particularly large ones, have become ubiquitous in AI applications, raising the need for models that align with human values and intentions. link] A team of researchers from Tencent AI Lab and The Chinese University of Hong Kong introduced Contrastive Unlikelihood Training (CUT) to address this challenge.

LLM 110

LLM AI AI NLP 110