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

JANUARY 15, 2024

TOFU provides a comprehensive evaluation scheme, considering forget quality and model utility to measure unlearning efficacy. The benchmark challenges existing unlearning algorithms, highlighting their limitations and the need for more effective solutions. However, TOFU also has its limitations.

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Marktechpost

OCTOBER 28, 2023

Although changeable parameters and rule-based systems make procedural generation effective in automating content development, it necessitates a thorough understanding of generation rules, algorithmic frameworks, and individual parameters. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter.

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Marktechpost

DECEMBER 7, 2023

Can We Optimize Large Language Models More Efficiently? To overcome this challenge, researchers continuously make algorithmic advancements to improve their efficiency and make them more accessible. The study surveys algorithmic advancements that enhance the efficiency of LLMs.

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Marktechpost

NOVEMBER 18, 2023

Large Language Models (LLMs) have shown great capabilities in various natural language tasks such as text summarization, question answering, generating code, etc., In this paper, the researchers from UC Berkeley have explored a new method to adapt LLMs with RL for goal-directed dialogues.

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Marktechpost

DECEMBER 20, 2023

Researchers from Apple have developed an innovative method to run large language models (LLMs) efficiently on devices with limited DRAM capacity, addressing the challenges posed by intensive computational and memory requirements. All credit for this research goes to the researchers of this project.

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Marktechpost

JANUARY 12, 2024

.’ To tackle these challenges, the research community has employed a range of methodologies. The backbone of most diarization systems is a combination of voice activity detection, speaker turn detection, and clustering algorithms. These systems typically fall into two categories: modular and end-to-end systems.

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Marktechpost

DECEMBER 13, 2023

Large Language Models (LLMs), due to their strong generalization and reasoning powers, have significantly uplifted the Artificial Intelligence (AI) community. This makes sure that the prompts’ semantic integrity is preserved even at large compression ratios.

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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. If you like our work, you will love our newsletter.

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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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AI Weekly

NOVEMBER 16, 2023

Powered by superai.com In the News 10 Breakthrough AI Research Papers to Read in 2024 These papers encompass a diverse array of advancements, ranging from ethical considerations to quantum computing applications, healthcare innovations to climate analysis. bbc.com Robotics Can't find your car keys?

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Marktechpost

NOVEMBER 21, 2023

Leveraging recent innovations in NLP, they employ methods to assess factuality through consistency with external knowledge bases and use the direct preference optimization algorithm for fine-tuning. Focusing on open-ended generation settings, it proposes fine-tuning language models for improved factuality without human labeling.

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Marktechpost

OCTOBER 17, 2023

Researchers have recognized the need for more controlled and accurate methods to generate proteins with specific properties, prompting the exploration of artificial intelligence (AI) as a potential solution to this problem. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter.

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Marktechpost

OCTOBER 27, 2023

A team of researchers from UC Berkeley, UCL, CMU, and Google Deepmind address the challenge of optimising large language models using composite reward models derived from various simpler reward models. An adaptive gradient-free optimization method is employed to prevent exceeding reward model thresholds.

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Large Language Models Natural Language Processing Algorithm AI 110

John Snow Labs

MAY 8, 2024

Pathology, an aspect of diagnosis is undergoing significant changes, with the emergence of Large Language Models (LLMs). Propelled by advancements in intelligence (AI) and machine learning (ML) LLMs are reshaping the way we analyze and interpret the intricate datasets found in pathology.

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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. The intuition behind ICL training can be interpreted as searching for the optimal algorithm to fit the task at hand.

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Artificial Intelligence Artificial Intelligence Algorithm AI Researcher 56

Heartbeat

OCTOBER 12, 2023

Large language models have been game-changers in artificial intelligence, but the world is much more than just text. These language models are breaking boundaries, venturing into a new era of AI — Multi-Modal Learning. However, the influence of large language models extends beyond text alone.

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Marktechpost

FEBRUARY 29, 2024

The rapidly developing field of Artificial Intelligence (AI) has seen a major advancement in technologies, including generative AI, deep neural networks, and Large Language Models (LLMs). AI has a wide range of effects on society, including effects on production, health, finance, and education.

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Artificial Intelligence Artificial Intelligence Neural Network Large Language Models 84

Marktechpost

SEPTEMBER 3, 2023

Large language models (LLMs) have become a general-purpose approach to embodied artificial intelligence problem-solving. When agents need to understand the semantic nuances of their environment for efficient control, LLMs’ reasoning skills are crucial in embodied AI.

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Large Language Models Artificial Intelligence Artificial Intelligence AI 110

Marktechpost

JUNE 12, 2023

Large Language Models are rapidly advancing with the huge success of Generative Artificial Intelligence in the past few months. The MeZO algorithm has been particularly designed to optimize Large Language Models with billions of parameters. Check Out The Paper and Github.

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Large Language Models Natural Language Processing BERT Artificial Intelligence 91

Marktechpost

OCTOBER 24, 2023

RAFA is an AI system that uses a linguistic model to carry out RL/PL tasks. The algorithm keeps track of the most recent formula and produces the next procedure to reach this objective. ” The “O” penalty does not prevent RAFA from competing with and even outperforming the language model in some settings.

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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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Large Language Models BERT Natural Language Processing Categorization 85

Marktechpost

DECEMBER 10, 2023

Competitive programming, which is a tough evaluation of coding skills that requires competitors to write code solutions for complex issues in a limited amount of time, requires a great amount of critical thinking, logical reasoning, and a thorough comprehension of algorithms and coding concepts.

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Marktechpost

AUGUST 6, 2023

They suggest examining whether large language models (LLMs) may profit from films because of their success in robotic planning and program-based visual question answering. AntGPT first identifies human activities using supervised action recognition algorithms.

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Large Language Models Neural Network Computer Vision Algorithm 90

Marktechpost

OCTOBER 4, 2023

TEXT2REWARD creates dense reward code (Figure 1 center) based on large language models (LLMs), which are based on a condensed, Pythonic description of the environment (Figure 1 left), given an RL objective (for example, “push the chair to the marked position”). If you like our work, you will love our newsletter.

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Large Language Models Automation Neural Network Robotics 113

BAIR

MARCH 11, 2024

You can also turn on Disqus comments, but we recommend disabling this feature. --> Every year, the Berkeley Artificial Intelligence Research (BAIR) Lab graduates some of the most talented and innovative minds in artificial intelligence and machine learning.

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Robotics Natural Language Processing Machine Learning Computer Vision 344

Marktechpost

OCTOBER 13, 2023

In conclusion, this research introduces LATS, a framework that integrates various aspects of LLMs to enhance decision-making. LATS overcomes previous limitations by incorporating search algorithms, external feedback, and experiential learning. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter.

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Large Language Models Natural Language Processing Algorithm AI Researcher 134

Marktechpost

AUGUST 4, 2023

Large Language Models (LLMs) have recently made considerable strides in the Natural Language Processing (NLP) sector. Adding multi-modality to LLMs and transforming them into Multimodal Large Language Models (MLLMs), which can perform multimodal perception and interpretation, is a logical step.

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Large Language Models Natural Language Processing NLP Algorithm 85

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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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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Large Language Models Deep Learning Natural Language Processing BERT 65

Marktechpost

JULY 10, 2023

The FOT allows a subset of attention layers to access an external memory of (key, value) pairs using the k-nearest neighbors (kNN) algorithm. Don’t forget to join our 26k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

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Large Language Models AI Tools Algorithm AI Researcher 98

Marktechpost

JUNE 9, 2023

Large Language Models (LLMs) have demonstrated incredible capabilities in recent times. These algorithms are made to maximize the SpQR memory compression advantages. This makes powerful LLMs accessible to consumers without suffering from any performance penalties. Check Out The Paper and Github.

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Large Language Models LLM AI Tools Algorithm 107

Marktechpost

JULY 19, 2023

Large language models (LLMs) are computer models capable of analyzing and generating text. Although ChatGPT is a remarkable language model that has proven incredibly useful in many contexts, it has certain limitations in areas like complex reasoning. Conclusion: Why are Multimodal LLMs the future?

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Artificial Intelligence Artificial Intelligence Large Language Models Robotics 91

Marktechpost

DECEMBER 9, 2023

The study introduces a Markov-chain Monte Carlo expectation-maximization algorithm, drawing inspiration from various related methods. This technique has consistently outperformed other methods, resulting in better model accuracy on held-out examples, particularly in evaluating GSM8K and BIG-Bench Hard tasks.

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Machine Learning Algorithm AI Researcher AI Research 101

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? Generative AI is igniting a new era of innovation within the back office.

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Robotics Large Language Models Artificial Intelligence Artificial Intelligence 207

AI Weekly

APRIL 25, 2024

AI can streamline customer interactions and save organizations money, but will it replace customer service agents? ey.com AI Regulation Is Coming - How to prepare for the inevitable For years public concern about technological risk has focused on the misuse of personal data. livescience.com Sponsor Planning a GenAI or LLM Project?

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Robotics LLM Prompt Engineer Prompt Engineering 226

AI Weekly

FEBRUARY 1, 2024

We explore how AI can transform roles and boost performance across business functions, customer operations and software development. A start-up called Perplexity shows what’s possible for a search engine built from scratch with artificial intelligence. medium.com Generative A.I.’s Powered Search Engine Replace Google?

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