AI Weekly

APRIL 25, 2024

Powered by rws.com In the News 80% of AI decision makers are worried about data privacy and security Organisations are hitting stumbling blocks in four key areas of AI implementation: Increasing trust, Integrating GenAI, Talent and skills, Predicting costs. Planning a GenAI or LLM project?

Robotics 264

Robotics LLM Prompt Engineer Prompt Engineering 264

Marktechpost

JULY 20, 2023

A new study from the University of California, Santa Barbara, and Microsoft proposes the Directional Stimulus Prompting (DSP) architecture that enhances the frozen black-box LLM on downstream tasks using a tiny tuneable LM (RL). To help the LLM produce the required summary based on the keywords, keywords act as the stimulus (hints).

LLM 98

LLM AI Researcher AI Research Prompt Engineering 98

Marktechpost

JULY 22, 2024

The importance of artificial data in AI research has grown substantially due to several factors: scalability, privacy preservation, diversity and representation, and cost-effectiveness. This method utilizes capable LLMs, like the GPT family, to produce high-quality synthetic data.

AI Researcher 119

AI Researcher AI Research Data Scarcity Prompt Engineer 119

AI Weekly

AUGUST 31, 2023

zdnet.com Nvidia’s stock closes at record after Google AI partnership Nvidia shares rose 4.2% forbes.com The AI Financial Crisis Theory Demystified Rather than focusing on whether the U.S. zdnet.com Nvidia’s stock closes at record after Google AI partnership Nvidia shares rose 4.2% dailymail.co.uk dailymail.co.uk

Generative AI 261

Generative AI Robotics Artificial Intelligence Artificial Intelligence 261

Marktechpost

DECEMBER 18, 2024

Despite their importance, prompt creation is a labor-intensive process that often requires domain-specific knowledge and significant human effort. These limitations have spurred the development of automated systems to refine and optimize prompts efficiently. Trending: LG AI Research Releases EXAONE 3.5:

AI Researcher 85

AI Researcher AI Research LLM Prompt Engineer 85

AI Weekly

MAY 30, 2024

Powered by rws.com In the News 10 Best AI PDF Summarizers In the era of information overload, efficiently processing and summarizing lengthy PDF documents has become crucial for professionals across various fields. Download 20 must-ask questions to find the right data partner for your AI project. Need data to train or fine-tune GenAI?

Robotics 261

Robotics AI AI Artificial Intelligence 261

Unite.AI

OCTOBER 9, 2023

Adding image analysis to large language models (LLMs) like GPT-4 is seen by some as a big step forward in AI research and development. This kind of multimodal LLM opens up new possibilities, taking language models beyond text to offer new interfaces and solve new kinds of tasks, creating fresh experiences for users.

ChatGPT 351

ChatGPT Large Language Models AI AI 351

ODSC - Open Data Science

MARCH 13, 2025

Unlike their massive counterparts, lightweight LLMs offer a practical alternative for applications requiring lower computational overhead without sacrificing accuracy. Together in this blog, were going to explore what makes an LLM lightweight, the top models in 2025, and how to choose the right one for yourneeds.

Hybrid AI 52

Hybrid AI LLM Prompt Engineer Prompt Engineering 52

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

AUGUST 4, 2023

In a groundbreaking move, LightOn proudly announced the launch of Alfred-40B-0723, an innovative open-source Language Model (LLM) based on Falcon-40B. This state-of-the-art model is the first of its kind, specifically designed to cater to the needs of businesses seeking to integrate Generative AI into their workflows seamlessly.

LLM 98

LLM Generative AI Prompt Engineer Prompt Engineering 98

ODSC - Open Data Science

AUGUST 24, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. Various prompting techniques, such as Zero/Few Shot, Chain-of-Thought (CoT)/Self-Consistency, ReAct, etc.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Large Language Models Responsible AI 52

Marktechpost

OCTOBER 8, 2023

Prompts are essential for improving the performance of LLMs like GPT-3.5 The way that prompts are created can have a big impact on an LLM’s abilities in a variety of areas, including reasoning, multimodal processing, tool use, and more. The task prompts are then subjected to mutations, resulting in variants.

Large Language Models 141

Large Language Models Neural Network Prompt Engineer Prompt Engineering 141

Flipboard

JUNE 17, 2023

They divide an LLM’s capacity for in-context learning into two components: the acquisition of effective task representations and the execution of probabilistic inference, or reasoning, over these representations. Is the gap caused by a lack of information in the representations or by the LLMs’ inability to analyze them?

LLM 140

LLM Large Language Models NLP Prompt Engineer 140

Marktechpost

SEPTEMBER 9, 2023

Editor’s Message We’re working hard at Marktechpost.com to help you find and read trending AI research articles as easily as possible — including making these research summary articles released regularly! All Credit For This Research Goes To the Researchers on This Project.

Large Language Models 126

Large Language Models Software Development Prompt Engineer Prompt Engineering 126

Marktechpost

AUGUST 27, 2023

Artificial Intelligence (AI) has seen a rise in the use of Large Language Models (LLMs). A particular sort of LLM that is based on the Transformer architecture’s decoder-only design has acquired a lot of popularity recently. The Chain-of-Thought (CoT) method expands on prompt engineering.

Large Language Models 98

Large Language Models Machine Learning Prompt Engineer Prompt Engineering 98

Marktechpost

DECEMBER 8, 2024

Understanding and mitigating hallucinations in AI systems is crucial for their reliable deployment. Below are six ways discussed to prevent hallucinations in LLMs: Use High-Quality Data The use of high-quality data is one simple-to-do thing. Parameter Tuning Another effective method for reducing hallucinations is parameter tuning.

Prompt Engineer 111

Prompt Engineer Prompt Engineering Large Language Models LLM 111

Marktechpost

SEPTEMBER 14, 2023

DM maintains conversational flow, sends prompts to LLM, and processes responses. Prompt engineering ensures natural responses from LLM. It combines a few shot-learning and prompt-learning techniques to generate context-aware replies. All Credit For This Research Goes To the Researchers on This Project.

Large Language Models 124

Large Language Models Robotics Natural Language Processing Prompt Engineer 124

Marktechpost

JANUARY 4, 2024

In order to get the most out of these models, it is important to ask the right questions, i.e., providing them with optimized prompts, which has led to the emergence of an entirely new field – prompt engineering, which focuses primarily on crafting optimized and task-specific instructions to get better responses.

Large Language Models 105

Large Language Models Prompt Engineer Prompt Engineering LLM 105

Marktechpost

OCTOBER 23, 2023

However, a significant limitation has persisted in effectively communicating with these advanced T2I models using natural language descriptions, making it challenging for users to obtain engaging images without expertise in prompt engineering. Additionally, the proposed technique can be easily integrated into existing LLMs.

Large Language Models 117

Large Language Models Prompt Engineer Prompt Engineering LLM 117

TheSequence

FEBRUARY 16, 2025

ReasonFlux In the paper "ReasonFlux: Hierarchical LLM Reasoning via Scaling Automated Thought Templates" , researchers present ReasonFlux , a framework that uses a library of thought templates to improve LLMs' mathematical reasoning capabilities. Hermes 3 Nous Research unveiled Hermes 3 , its new reasoning model.

Large Language Models 59

Large Language Models Robotics Prompt Engineer Prompt Engineering 59

Towards AI

FEBRUARY 15, 2023

But it is difficult to know how the ecosystem will play out and what capabilities and products will be built into the LLMs and owned by the likes of OpenAI, Microsoft, and Google and which will be performed by the surrounding startup ecosystem. Hottest News 1. This article explains why. […]

Large Language Models 98

Large Language Models Prompt Engineer Prompt Engineering AI Chatbots 98

TheSequence

JUNE 7, 2023

Today, it seems to me, that the most exciting and challenging problems are in AI. 🛠 ML Work Humanloop is one of the emerging platforms in the LLM application development space. I’ve believed for a long time now that foundational AI models, like GPT-3/4, are the start of the next big computing platform.

LLM 72

LLM Machine Learning Generative AI Prompt Engineer 72

TheSequence

JULY 16, 2023

Created Using Midjourney Next Week in The Sequence: Edge 309: Our series about foundation model techniques continues with a look at active prompting including an analysis of the original AP paper. Data Agents LlamaIndex introduced Data Agents, a framework for augmenting LLMs with data access capabilities —> Read more.

LLM 98

LLM OpenAI Prompt Engineer Prompt Engineering 98

Marktechpost

AUGUST 27, 2023

This method of benchmark design, in which subject matter experts actively and actively participate in the development of evaluation tasks, exemplifies one kind of multidisciplinary cooperation in LLM research. They emphasize three aspects of LEGALBENCH as a research project: 1.

Large Language Models 98

Large Language Models LLM Computer Scientist Prompt Engineer 98

Towards AI

SEPTEMBER 22, 2023

The paper reveals that researchers face the same resource limitations as professionals in the industry, which is not surprising because model training is getting so expensive. The authors proposed strategies for how to do research with limited resources. However, with the advent of LLM, everything has changed.

Prompt Engineer 59

Prompt Engineer Prompt Engineering ML ML Engineer 59

Towards AI

APRIL 30, 2024

In the popular lmsys LLM arena and leaderboard, LLama 70GB scores second to only the latest GPT-4 Turbo on English text-based prompts. Prompt Engineering Best Practices: Building Chatbots This step-by-step tutorial focuses on the essentials of building a personalized chatbot with the right prompting techniques.

AI 97

AI AI LLM Prompt Engineer 97

Marktechpost

OCTOBER 18, 2023

Existing efforts to tackle these challenges have given rise to calibration methods to mitigate the biases and recover LLM performance. The metrics obtained through these experiments show that BC offers state-of-the-art performance, making it a promising solution for those working with LLMs. Join our AI Channel on Whatsapp.

Large Language Models 75

Large Language Models Prompt Engineer Prompt Engineering LLM 75

Topbots

NOVEMBER 27, 2023

Be prepared to adapt swiftly to evolving regulatory landscapes, such as GDPR policies, that may impose limitations on the use of generative AI technology. Generative AI Vulnerabilities. Sign up for more AI research updates. Email Address * Name * First Last Company * What business use cases are you applying AI to?

Software Development 105

Software Development Generative AI Prompt Engineer Prompt Engineering 105

Towards AI

FEBRUARY 20, 2025

You will also find useful tools from the community, collaboration opportunities for diverse skill sets, and, in my industry-special Whats AI section, I will dive into the most sought-after role: LLM developers. But who exactly is an LLM developer, and how are they different from software developers and ML engineers?

Neural Network 79

Neural Network Explainability LLM Software Development 79

Marktechpost

JUNE 27, 2023

Although training methods for cutting-edge LLMs have yet to be made public, recent in-depth reports imply that the underlying architecture of these systems has changed little, if at all. As resources are poured into LLM, unexpectedly crucial behaviors often emerge. No effective methods exist for influencing the actions of LLMs.

Large Language Models 97

Large Language Models LLM Neural Network Prompt Engineer 97

TheSequence

JULY 23, 2023

Created Using Midjourney Next Week in The Sequence: Edge 311: Our series about foundation models continues with ReAct, a technique that combines reasoning and acting in LLMs. We review Google’s original ReAct paper and the Haystack framework for LLM-based search. TheSequence is a reader-supported publication.

Prompt Engineer 52

Prompt Engineer Prompt Engineering LLM Robotics 52

Marktechpost

MARCH 6, 2025

Whether you’re interfacing with models remotely or running them locally, understanding key techniques like prompt engineering and output structuring can substantially improve performance for your specific applications. Here is the Colab Notebook. Dont Forget to join our 80k+ ML SubReddit.

Large Language Models 52

Large Language Models Auto-complete Prompt Engineer Prompt Engineering 52

Marktechpost

JULY 19, 2023

This avoids hosting the LLM or annotating big datasets, but it has major performance issues with multistep reasoning, math, having the most recent information, and other things. Also, the framework chooses and employs the best suitable tools (such as search engines and code execution) at each stage.

Large Language Models 52

Large Language Models Automation Prompt Engineer Prompt Engineering 52

Marktechpost

FEBRUARY 21, 2025

The lack of explicit planning mechanisms means that although LLMs generate human-like responses, their internal decision-making remains opaque. As a result, users often rely on prompt engineering to guide outputs, but this method lacks precision and does not provide insight into the model’s inherent response formulation.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering LLM 52

TheSequence

DECEMBER 17, 2023

Created Using DALL-E Next Week in The Sequence: Edge 353: We start a new series about reasoning in LLMs! Review Meta AI’s CICERO paper and the LLM Reasoners library. Chain of Code Google DeepMind published a paper introducing Chain of Code(CoC), a method that augments LLMs code-driven reasoning.

LLM 59

LLM OpenAI ML Prompt Engineer 59

Mlearning.ai

OCTOBER 28, 2023

Prompt, In-context Learning and Chaining Step 1 You pick a model, give it a prompt, get a response, evaluate the response, and re-prompt if needed until you get the desired outcome. In-context learning is a prompt engineering approach where language models learn tasks from a few natural language examples and try to perform them.

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering LLM 52

ODSC - Open Data Science

JANUARY 30, 2025

Theres still time to catch todays AI Agents sessions! You can also sign up for next weeks AI Builders talks and tutorials. Topics include: Multimodal fine-tuning Implementing AIagents LLM-powered applications Open weightsmodels Catch todays AI Agents sessions or sign up for next weeks sessions on AI Builders!

Prompt Engineer 52

Prompt Engineer Prompt Engineering OpenAI AI 52