Marktechpost

FEBRUARY 27, 2024

The deployment of large language models (LLMs) has become central to many applications, from synthetic data generation to fine-tuning models for specific tasks. With their vast capabilities, these models have opened new frontiers in research and application development. Yet, the adoption of LLMs has its challenges.

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LLM Large Language Models Python NLP 137

Unite.AI

OCTOBER 16, 2023

The underpinnings of LLMs like OpenAI's GPT-3 or its successor GPT-4 lie in deep learning, a subset of AI, which leverages neural networks with three or more layers. Through training, LLMs learn to predict the next word in a sequence, given the words that have come before.

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Large Language Models LLM Machine Learning DevOps 189

Marktechpost

DECEMBER 12, 2023

LLMs can be fine-tuned on code-related datasets to generate code snippets, including function calls. LLMs can assist in code completion by proposing function calls or suggesting relevant functions based on the context or partial code provided. This helps developers in writing code faster and more accurately.

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LLM OpenAI AI Researcher AI Research 130

Marktechpost

FEBRUARY 5, 2024

Recent advancements in large language models (LLMs) have propelled the field forward in interpreting and executing instructions. Despite these strides, LLMs still grapple with errors in recalling and composing world knowledge, leading to inaccuracies in responses. y1, y2, y3). 2021; Miao et al., 2020; Yang et al.,

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Large Language Models LLM AI AI 130

O'Reilly Media

MARCH 26, 2024

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. In Borges’ fable Pierre Menard, Author of The Quixote , the eponymous Monsieur Menard plans to sit down and write a portion of Cervantes’ Don Quixote. Specific prompts seem to “unlock” training data. Let me explain.

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ChatGPT OpenAI Generative AI LLM 110

Marktechpost

NOVEMBER 23, 2023

Large Language Models (LLMs), such as GPT-4 and LLaMA, have undoubtedly transformed the technological landscape. Despite their remarkable capabilities, the time it takes to obtain responses from LLMs hinders their effectiveness, particularly in latency-critical applications like chatbots, copilots, and industrial controllers.

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Artificial Intelligence Artificial Intelligence Large Language Models LLM 137

Unite.AI

DECEMBER 8, 2023

The integration and application of large language models (LLMs) in medicine and healthcare has been a topic of significant interest and development. Dr. Shah's perspective underscores the need for a more tailored approach to utilizing LLMs in medicine.

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Large Language Models LLM Data Scientist Continuous Learning 189

Marktechpost

MAY 16, 2024

Large Language Models (LLMs) like GPT 3.5 The activities covered a wide range, such as answering opinion surveys, resolving sensitive or risky inquiries, solving maths problems, tackling hard, knowledge-intensive queries, writing code, passing tests for U.S. medical licenses, and using visual reasoning.

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AI Researcher AI Research Large Language Models LLM 103

Allen AI

JUNE 19, 2023

How to be mindful of current risks when using chatbots and writing assistants By Maria Antoniak , Li Lucy , Maarten Sap , and Luca Soldaini Have you used ChatGPT, Bard, or other large language models (LLMs)? Have you interacted with a chatbot or used an automatic writing assistant?

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Large Language Models LLM Chatbots Explainability 143

Marktechpost

SEPTEMBER 1, 2023

LLMs have become increasingly popular in the NLP (natural language processing) community in recent years. LLMs’ sophisticated generating capabilities make them a natural breeding ground for threats such as the creation of phishing emails, malware, and false information. Check out the Paper.

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Large Language Models Neural Network Natural Language Processing LLM 138

Unite.AI

OCTOBER 19, 2023

Large Language Models can craft poetry, answer queries, and even write code. The same prompts that enable LLMs to engage in meaningful dialogue can be manipulated with malicious intent. We're still learning what LLMs can and can't do. This shows that LLMs can be sensitive and sometimes unpredictable.

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Prompt Engineer Prompt Engineering Large Language Models LLM 277

ODSC - Open Data Science

OCTOBER 2, 2023

As large language models continue their assent into multiple fields, they will begin to branch off and become more domain-specific to tackle complex problems that general LLMs aren’t well suited for. The project is still in its early stages, but it has the potential to revolutionize the way that open source LLMs are used.

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Large Language Models LLM Data Science Python 98

NVIDIA

MARCH 13, 2024

LLMs excel at summarizing large volumes of text, classifying and mining data for insights, and generating new text in a user-specified style, tone or format. While the first LLMs dealt solely with text, later iterations were trained on other types of data. Why Do LLMs Matter? And that’s just the tip of the iceberg.

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Large Language Models Chatbots LLM AI 129

AI Weekly

NOVEMBER 2, 2023

Timnit Gebru was fired from Google shortly after writing a paper that pointed out biases in AI. businessinsider.com The Senate’s hearing on AI regulation was dangerously friendly As politicians and companies agree on the need to regulate AI, experts warn of regulatory capture — of letting corporations write lax rules that lead to public harm.

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Robotics Machine Learning Artificial Intelligence Artificial Intelligence 166

Ehud Reiter

MAY 21, 2023

I’m writing a book on NLG ( blog ), and for the past few weeks I’ve been working on the evaluation section. At the same time, widespread use of LLMs will encourage the development of high-quality human evaluations to assess aspects of quality that are difficult for LLMs, such as semantic and pragmatic correctness.

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LLM OpenAI 160

Towards AI

FEBRUARY 27, 2024

LLMs are one of the pinnacles of human knowledge that has transformative potential comparable to the Internet. Why do knowledge sharing and knowledge flow play a crucial role in our world’s acceleration, and why are LLMs the lapis philosophorum that could bring us to the singularity? How did we come to that?

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Machine Learning Deep Learning ChatGPT ML 96

Unite.AI

FEBRUARY 1, 2024

Secondly, a smaller startup will fully immerse into the company's specifics and offer a made-to-measure solution from a team of AI experts, who are capable of working with open-source models, securely training them on corporate data, and placing them on the client’s servers. Employee AI assistant (i.e. Employee AI assistant (i.e.

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Large Language Models Generative AI AI AI 299

Unite.AI

DECEMBER 13, 2023

Below are examples of original prompts and their refined versions through prompt tuning: Example 1: Content Creation Original Prompt: “Write a story about a dragon.” ” Tuned Prompt: “Write a humorous story about a friendly dragon who loves baking cookies and lives in a magical forest.”

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LLM Chatbots Explainability Large Language Models 253

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 130

IBM Journey to AI blog

JANUARY 11, 2024

Overcoming the limitations of generative AI We’ve seen numerous hypes around generative AI (or GenAI) lately due to the widespread availability of large language models (LLMs) like ChatGPT and consumer-grade visual AI image generators. No AI bots were used to write this content.

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Generative AI AI AI DevOps 276

Towards AI

FEBRUARY 6, 2024

While Google sticks to OpenAI’s closed-source API model release playbook, there were advances in open-source LLMs this week. Hugging Face released Hugging Chat Assistants, its open-source competitor to the GPTStore. Hugging Chat Assistants can be powered by various open-source LLMs, including Mistral’s Mixtral or Meta’s Llama 2.

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Neural Network Machine Learning Large Language Models AI 103

Towards AI

SEPTEMBER 1, 2023

Photo by Glib Albovsky on Unsplash If you’re into open-source LLMs, you see Llamas everywhere. So I’ve finally decided to play with Llama 2 by Meta — the most popular open-source Large Language Model (at the time of writing). Upgrade to access all of Medium. At least I do ?

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Large Language Models AI AI Python 112

Marktechpost

APRIL 11, 2024

Here’s a look at the most relevant short courses available: Red Teaming LLM Applications This course offers an essential guide to enhancing the safety of LLM applications through red teaming. Participants will learn to spot and address vulnerabilities within LLM applications, applying cybersecurity methods to the AI domain.

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Artificial Intelligence Artificial Intelligence LLM Prompt Engineer 104

Marktechpost

MARCH 4, 2024

From producing writing that resembles that of a human being to comprehending subtleties of language, Large Language Models (LLMs) have played a key role in attaining state-of-the-art performance in various Natural Language Processing (NLP) applications.

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Large Language Models Natural Language Processing NLP LLM 98

Marktechpost

JANUARY 16, 2024

Large Language Models (LLMs) signify a remarkable advance in natural language processing and artificial intelligence. These models, exemplified by their ability to understand and generate human language, have revolutionized numerous applications, from automated writing to translation.

LLM 92

LLM Large Language Models Natural Language Processing Artificial Intelligence 92

Marktechpost

APRIL 2, 2024

The team at W&B uses it to test and prototype next-generation tooling for building powerful applications on top of large language models (LLMs). Unlike its predecessor, OpenUI is open-source, providing developers more freedom and control over their UI development process.

AI Tools 110

AI Tools Large Language Models OpenAI AI 110

Unite.AI

FEBRUARY 23, 2024

Prompt engineering is the art and science of crafting inputs (or “prompts”) to effectively guide and interact with generative AI models, particularly large language models (LLMs) like ChatGPT. Module 1 introduces the concept of prompt engineering in generative AI, emphasizing best practices for writing effective prompts.

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Prompt Engineer Prompt Engineering Large Language Models Generative AI 272

Marktechpost

JANUARY 22, 2024

Large Language Models (LLMs) are crucial to maximizing efficiency in natural language processing. By reducing the dependency on sequential processing, Speculative Decoding minimizes the time-consuming memory read/write operations typical in LLMs. Speculative Decoding is a major advancement in LLMs.

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Large Language Models Natural Language Processing Conversational AI Data Analysis 124

Marktechpost

MAY 3, 2024

With its potential to enhance productivity, foster creativity, and automate tasks, understanding ChatGPT opens up avenues for innovation and problem-solving. ChatGPT Prompt Engineering for Developers This course teaches you how to leverage LLMs in your own applications and build a custom chatbot.

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ChatGPT Prompt Engineer Prompt Engineering Large Language Models 90

IBM Journey to AI blog

DECEMBER 15, 2023

Open-source artificial intelligence (AI) refers to AI technologies where the source code is freely available for anyone to use, modify and distribute. Open-source AI projects and libraries, freely available on platforms like GitHub, fuel digital innovation in industries like healthcare, finance and education.

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AI Tools Deep Learning Computer Vision AI 182

Marktechpost

JANUARY 11, 2024

The optimization of large language models (LLMs) for multilingual instruction-following stands as a significant area of research. This method departs from the traditional monolingual tuning, offering a more resource-efficient pathway to enhancing LLMs’ multilingual capabilities. The tuning involved two main strategies.

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Large Language Models LLM AI AI 97

ODSC - Open Data Science

SEPTEMBER 20, 2023

Experiment with Open-Ended Prompts While specificity is crucial, don’t shy away from open-ended prompts when creativity is required. For creative writing tasks or brainstorming, use prompts that encourage the AI to explore freely. This method guides the AI by example, leading to more accurate results.

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Generative AI Large Language Models Explainability LLM 98

AssemblyAI

AUGUST 3, 2023

The rise of Large Language Models (LLMs) is revolutionizing how we interact with technology. Today, ChatGPT and other LLMs can perform cognitive tasks involving natural language that were unimaginable a few years ago. Much of current AI research aims to design LLMs that seek helpful, truthful, and harmless behavior.

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LLM Chatbots ChatGPT OpenAI 238

Marktechpost

DECEMBER 12, 2023

Chatbots often use large language models (LLMs), known for their many useful skills, including natural language processing, reasoning, and tool proficiency. In comparison to the more powerful LLMs, this severely restricts their potential. This fills a need in the field by using LLMs as a foundation for moderation.

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Generative AI AI Modeling Large Language Models LLM 101

Towards AI

MAY 7, 2024

What happened this week in AI by Louie This week, we were again watching developments in AI-powered robots and LLMs. A collaboration between Nvidia and UPenn released DrEureka, a new open-source model that uses an LLM agent to write code for training robots in simulation and then write further code to transfer to real-world deployment.

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Robotics Chatbots OpenAI AI 79

Towards AI

DECEMBER 29, 2023

GPT4All is an open-source software ecosystem created by Nomic AI that allows anyone to train and deploy large language models (LLMs) on everyday hardware. In the last few days, Google presented Gemini Nano that goes in this direction. Another initiative is GPT4All. In this post, I use GPT4ALL via Python.

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Large Language Models LLM ChatGPT Python 93

Marktechpost

MARCH 26, 2024

Large language models (LLMs) have proven success in various tasks in the software engineering domain, such as generating code and documentation, translating code between programming languages, writing unit tests, and detecting and fixing bugs. Performed evaluation of 3 sampling methods with feedback.

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Large Language Models Neural Network Software Engineer Machine Learning 78