Marktechpost

SEPTEMBER 30, 2023

A revolution in the field of coding work automation has been brought about by introducing Large Language Models (LLMs), such as GPT-3. These models have extraordinary generative skills and have opened the path for the creation of Replit, GitHub Copilot, and Amazon Code Whisperer.

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Marktechpost

JANUARY 16, 2024

Privacy concerns have become a significant issue in AI research, particularly in the context of Large Language Models (LLMs). The SAFR AI Lab at Harvard Business School was surveyed to explore the intricate landscape of privacy issues associated with LLMs.

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AI News

JUNE 28, 2023

Databricks has announced its definitive agreement to acquire MosaicML , a pioneer in large language models (LLMs). This strategic move aims to make generative AI accessible to organisations of all sizes, allowing them to develop, possess, and safeguard their own generative AI models using their own data.

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Marktechpost

FEBRUARY 23, 2024

Developing large language models (LLMs) represents a cutting-edge frontier. These models, trained to parse, generate, and interpret human language, are increasingly becoming the backbone of various digital tools and platforms, enhancing everything from simple automated writing assistants to complex conversational agents.

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Marktechpost

SEPTEMBER 16, 2023

Large language models (LLMs) have an ever-greater impact on how daily lives and careers are changing because they make possible new applications like programming assistants and universal chatbots. Recent studies show that handling an LLM request can be expensive, up to ten times higher than a traditional keyword search.

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Marktechpost

JULY 4, 2023

Though recent advances have been made in large language model (LLM) reasoning, LLMs still have a hard time with hierarchical multi-step reasoning tasks like developing sophisticated programs. In 6 hours, he found solutions to 5 of 10 problems, including 3 that GPT-3 had previously failed on.

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Marktechpost

JULY 4, 2023

The remarkable results achieved by transformer-based models like GPT-2 and GPT-3 gravitated the research community toward exploring large language models (LLMs). Additionally, ChatGPT’s recent success and popularity have only served to increase people’s interest in LLMs. Check out the Paper.

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Large Language Models Artificial Intelligence Artificial Intelligence LLM 97

Marktechpost

SEPTEMBER 14, 2023

Today, platforms like Hugging Face have made it easier for a wide range of users, from AI researchers to those with limited machine learning experience, to access and utilize pre-trained Large Language Models (LLMs) for different entities. Check out the Paper and Code.

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Marktechpost

JULY 4, 2023

Computer programs called large language models provide software with novel options for analyzing and creating text. It is not uncommon for large language models to be trained using petabytes or more of text data, making them tens of terabytes in size.

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Unite.AI

FEBRUARY 15, 2024

Ramprakash Ramamoorthy, is the Head of AI Research at ManageEngine , the enterprise IT management division of Zoho Corp. As the director of AI Research at Zoho & ManageEngine, what does your average workday look like? What were some of the machine learning algorithms that were used in these early days?

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AI Researcher AI Research Machine Learning AI 162

Marktechpost

NOVEMBER 21, 2023

A team of researchers from Nankai University and ByteDance introduced a novel framework called ChatAnything, designed to generate anthropomorphized personas for large language model (LLM)-based characters in an online manner. The mixture of voices (MoV) module selects tones based on user text inputs.

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Marktechpost

APRIL 11, 2024

In AI, combining large language models (LLMs) with tree-search methods is pioneering the approach of complex reasoning and planning tasks. These models, designed to simulate and improve decision-making capabilities, are increasingly critical in various applications requiring multiple logical reasoning steps.

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Marktechpost

DECEMBER 20, 2023

With the recent introduction of Large Language Models (LLMs), the field of Artificial Intelligence (AI) has significantly outshined. These workflows, called LLM agents, use external tools or APIs to carry out multi-step processes and accomplish a purpose. If you like our work, you will love our newsletter.

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LLM Large Language Models Artificial Intelligence Artificial Intelligence 129

Marktechpost

MAY 30, 2024

Large language models (LLMs) like ChatGPT-4 and Claude-3 Opus excel in tasks such as code generation, data analysis, and reasoning. Human preferences vary widely due to cultural backgrounds and personal experiences, and LLMs often exhibit biases, favoring dominant viewpoints and frequent items.

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Large Language Models Algorithm Data Analysis AI Researcher 116

Flipboard

JULY 10, 2023

LLMs stands for Large Language Models. These are advanced machine learning models that are trained to comprehend massive volumes of text data and generate natural language. LLMs are trained on massive amounts of data, often billions of words, to develop a broad understanding of language.

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Marktechpost

OCTOBER 24, 2023

Within a Bayesian adaptive MDP paradigm, they formally describe how to reason and act with LLMs. Similarly, they instruct LLMs to learn a more accurate posterior distribution over the unknown environment by consulting the memory buffer and designing a series of actions that will maximize some value function. We are also on WhatsApp.

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Artificial Intelligence Artificial Intelligence LLM AI Researcher 97

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? You can also subscribe via email.

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Robotics LLM Prompt Engineer Prompt Engineering 230

Topbots

APRIL 29, 2024

Simple next-token generation, the foundational technique of large language models (LLMs), is usually insufficient for tackling complex reasoning tasks. To address this limitation, various research teams have explored innovative methodologies aimed at enhancing the reasoning capabilities of LLMs.

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LLM Large Language Models Natural Language Processing AI Researcher 59

Marktechpost

DECEMBER 24, 2023

A pressing concern has surfaced in large language models (LLMs), drawing attention to the safety implications of downstream customized finetuning. As LLMs become increasingly sophisticated, their potential to inadvertently generate biased, toxic, or harmful outputs poses a substantial challenge. New Research Alert!

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Marktechpost

SEPTEMBER 26, 2023

Large language models (LLMs) have made tremendous strides in the last several months, crushing state-of-the-art benchmarks in many different areas. There has been a meteoric rise in people using and researching Large Language Models (LLMs), particularly in Natural Language Processing (NLP).

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AI Researcher AI Research Large Language Models LLM 105

AI Weekly

APRIL 11, 2024

The Microsoft AI London outpost will focus on advancing state-of-the-art language models, supporting infrastructure, and tooling for foundation models. techcrunch.com Applied use cases Can AI Find Its Way Into Accounts Payable?

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Unite.AI

OCTOBER 23, 2023

Behind the Scenes of Eureka Delving deeper into this technological marvel, the Eureka research is not just a page-long theory; it's an extensive compilation of algorithms and findings that have been published for the world to see and learn. This extensive research is not just confined to theoretical knowledge.

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Marktechpost

DECEMBER 12, 2023

Large Language Models (LLMs) like ChatGPT have revolutionized natural language processing, showcasing their prowess in various language-related tasks. However, these models grapple with a critical issue – the auto-regressive decoding process, wherein each token requires a full forward pass.

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Marktechpost

AUGUST 3, 2023

ChatGPT and large language models (LLMs) are extremely flexible, allowing for the creation of numerous programs. However, the costs associated with LLM API calls might become significant when the application gains popularity and experiences increased traffic levels.

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Marktechpost

JULY 19, 2023

Large language models can swiftly adapt to new tasks utilizing in-context learning by being given a few demos and real language instructions. 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.

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Marktechpost

JULY 14, 2023

However, as Mithril Security’s latest LLM-powered penetration test shows, adopting the newest algorithms can also have significant security implications. Researchers from Mithril Security, a corporate security platform, discovered they could poison a typical LLM supply chain by uploading a modified LLM to Hugging Face.

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Marktechpost

OCTOBER 9, 2023

In response to the challenges faced in generating videos from text prompts, a team of researchers has introduced a new approach called LLM-grounded Video Diffusion (LVD). The core issue at hand is that existing models struggle to create videos that accurately represent complex spatiotemporal dynamics described in textual prompts.

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LLM Large Language Models Algorithm AI Researcher 116

ODSC - Open Data Science

FEBRUARY 22, 2024

The Limits of Retrieval Augmentation, 8 AI Research Labs Worth Exploring, and Supercharging LLMs with LangChain Is RAG All You Need? Take a deep dive into Machine Learning, NLP, Large Language Models, Generative AI, MLOps, and more with 250+ experts, core contributors, and practitioners shaping the future of AI.

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Marktechpost

JULY 2, 2023

Enormous large language models (LLMs) can exhibit appealing skills like producing human-like discourse and responding to complicated inquiries because they have been trained at scale on large text corpora. While undoubtedly amazing, most cutting-edge LLMs are trained on text-only data downloaded from the Internet.

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Large Language Models AI Modeling LLM AI 52

Analytics Vidhya

MAY 15, 2023

Microsoft AI Research has recently introduced a new framework called Automatic Prompt Optimization (APO) to significantly improve the performance of large language models (LLMs).

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Prompt Engineer Prompt Engineering Large Language Models AI Researcher 276

Marktechpost

JULY 4, 2023

In-context learning is a recent paradigm where a large language model (LLM) observes a test instance and a few training examples as its input and directly decodes the output without any update to its parameters. In ICL, a training example in the prompt influences the future decisions of the algorithms from that point.

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Artificial Intelligence Artificial Intelligence Algorithm AI Researcher 55

Unite.AI

OCTOBER 18, 2023

Its comprehensive analyses have consistently offered valuable insights to researchers, industry professionals, and policymakers. This year, the report underscores some particularly significant advancements in the field of Large Language Models (LLMs), emphasizing their growing influence and the broader implications for the AI community.

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Marktechpost

MAY 19, 2024

Google AI researchers describe their novel approach to addressing the challenge of generating high-quality synthetic datasets that preserve user privacy, which are essential for training predictive models without compromising sensitive information. The first step of the approach is to train LLM on a large corpus of public data.

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Marktechpost

FEBRUARY 20, 2024

This field forms the foundation for developing algorithms, models, and simulations that solve complex real-world problems. Creating LLMs specialized in mathematical reasoning is still challenging due to the scarcity of high-quality, diverse datasets. million problem-solution pairs to improve mathematical reasoning in LLMs.

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Marktechpost

JUNE 9, 2023

Machine learning (ML) has played (and will continue to play) a significant role in extracting and learning important characteristics from large-scale password breaches, leading to substantial contributions primarily towards two primary areas of research: (1) password guessing and (2) password strength estimate algorithms.

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NVIDIA

OCTOBER 20, 2023

The stunning prestidigitation, showcased in the video above, is one of nearly 30 tasks that robots have learned to expertly accomplish thanks to Eureka, which autonomously writes reward algorithms to train bots. Eureka itself is powered by the GPT-4 large language model. In this way, the AI is self-improving.

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Robotics Large Language Models Computer Vision LLM 143

AssemblyAI

MAY 3, 2023

Thanks to the widespread adoption of ChatGPT, millions of people are now using Conversational AI tools in their daily lives. With these fairly complex algorithms often being described as “giant black boxes” in news and media, a demand for clear and accessible resources is surging. months on average.

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