AI Weekly

OCTOBER 10, 2024

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AI Research 226

AI Research AI Researcher Robotics Artificial Intelligence 226

Marktechpost

MARCH 24, 2024

However, complexities are involved in developing and evaluating new reasoning strategies and agent architectures for LLM agents due to the intricacy of existing frameworks. A research team from Salesforce AI Research presents AgentLite , an open-source AI Agent library that simplifies the design and deployment of LLM agents.

LLM 140

LLM AI Research AI Researcher Large Language Models 140

AI News

NOVEMBER 8, 2023

Amazon is reportedly making substantial investments in the development of a large language model (LLM) named Olympus. Training such massive AI models is a costly endeavour, primarily due to the significant computing power required. The post Amazon is building a LLM to rival OpenAI and Google appeared first on AI News.

LLM 246

LLM OpenAI Large Language Models Big Data 246

Marktechpost

APRIL 25, 2024

Snowflake AI Research has launched the Arctic , a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard for cost-effectiveness and accessibility.

Large Language Models 140

Large Language Models LLM AI Research AI Researcher 140

Marktechpost

JANUARY 23, 2024

Frontend: Easy LLM Programming with SGLang The team also presents SGLang, an embedded domain-specific language in Python, on the front end. The researchers recorded the throughput their system attained when testing it on the following typical LLM workloads: MMLU: A multi-tasking, 5-shot, multiple-choice test. advice v0.1.8,

LLM 107

LLM AI Research AI Researcher Auto-complete 107

Marktechpost

JANUARY 19, 2024

Traditional approaches to LLM serving, while adept at training models effectively, falter during inference, especially in tasks like open-ended text generation. vLLM, powered by PagedAttention, and research systems like Orca have improved LLM inference performance. lower tail latency compared to vLLM. Check out the Paper.

LLM 113

LLM AI Research AI Researcher Large Language Models 113

ML @ CMU

SEPTEMBER 13, 2024

If a certain phrase exists within the LLM training data (e.g., is not itself generated text) and it can be reproduced with fewer input tokens than output tokens, then the phrase must be stored somehow within the weights of the LLM. We show that it appropriately ascribes many famous quotes as being memorized by existing LLMs (i.e.,

LLM 127

LLM Neural Network OpenAI Large Language Models 127

Marktechpost

MARCH 1, 2024

However, LLMs designed to maximize human preference can display sycophantic behavior, meaning they will give answers that match what the user thinks is right, even if that perspective isn’t correct. The LLM performs a classification task in response to a user prompt at the initial turn of the discussion.

LLM 126

LLM Machine Learning AI Research AI Researcher 126

Marktechpost

OCTOBER 11, 2024

This issue can lead to inconsistencies and incorrect outputs when the LLM attempts to merge its internal knowledge with flawed external content. For example, studies have shown that up to 70% of retrieved passages in real-world scenarios do not directly contain true answers, resulting in degraded performance of LLMs with RAG augmentation.

AI Research 133

AI Research AI Researcher LLM AI 133

Marktechpost

OCTOBER 28, 2023

Character-LLM is a trainable agent designed to simulate specific individuals by editing profiles and training models as personal replicas, replicating their unique experiences. A team of researchers from China introduced the concept of training agents as character simulacra using Character-LLM.

LLM 109

LLM AI Research AI Researcher Large Language Models 109

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.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence LLM AI Research 98

AI News

JUNE 28, 2023

Upon the completion of the transaction, the entire MosaicML team – including its renowned research team – is expected to join Databricks. MosaicML’s machine learning and neural networks experts are at the forefront of AI research, striving to enhance model training efficiency. appeared first on AI News.

LLM 197

LLM Large Language Models Big Data Neural Network 197

Marktechpost

MARCH 3, 2024

Researchers from the University of Potsdam, Qualcomm AI Research, and Amsterdam introduced a novel hybrid approach, combining LLMs with SLMs to optimize the efficiency of autoregressive decoding. This process begins with the LLM encoding the prompt into a comprehensive representation. speedup of LLM-to-SLM alone.

Machine Learning 132

Machine Learning AI Research AI Researcher Large Language Models 132

Marktechpost

SEPTEMBER 1, 2024

Current methods for improving LLM reasoning capabilities include strategies such as knowledge distillation, where a smaller model learns from a larger model, and self-improvement, where models are trained on data they generate themselves. Significant improvements in LLM performance were observed across various benchmarks.

LLM 138

LLM AI Modeling Large Language Models AI 138

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? How did you initially get interested in computer science and machine learning ?

AI Research 162

AI Research AI Researcher Machine Learning AI 162

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 Research AI Researcher Prompt Engineering 98

Marktechpost

MAY 16, 2024

However, it is impossible to foresee how modifications in the model would affect its output because of the opaque nature of the process and the impact of these updates on LLM behavior. The problem of LLM updates and their impacts makes it difficult to incorporate these models into intricate processes. Check out the Report.

AI Research 120

AI Research AI Researcher Large Language Models LLM 120

Towards AI

FEBRUARY 24, 2024

Increasing the size of LLMs has worked very well in the past because LLM performance is highly dependent on scale, which means three things: the number of model parameters, the size of the training dataset, and the amount of computation for training [1]. This is roughly a 10x to 100x increase in size for each new iteration of GPT.

LLM 105

LLM Large Language Models AI Research AI Researcher 105

Marktechpost

JULY 8, 2023

Researchers from SenseTime Research, SKLSDE, Beihang University, and Shanghai Jiao Tong University developed Shikra, a unified model that can handle inputs and outputs of spatial coordinates, which is what they created. An alignment layer, an LLM, and a vision encoder are all parts of the Shikra architecture.

LLM 113

LLM AI Research AI Researcher Large Language Models 113

Marktechpost

OCTOBER 5, 2024

Large Language Models (LLMs) have become integral to numerous AI systems, showcasing remarkable capabilities in various applications. However, as the demand for processing long-context inputs grows, researchers face significant challenges in optimizing LLM performance.

LLM 104

LLM Algorithm AI AI 104

Marktechpost

JANUARY 12, 2024

The post Google AI Researchers Introduce DiarizationLM: A Machine Learning Framework to Leverage Large Language Models (LLM) to Post-Process the Outputs from a Speaker Diarization System appeared first on MarkTechPost. Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup.

Large Language Models 127

Large Language Models Machine Learning AI Research AI Researcher 127

Marktechpost

MAY 14, 2024

There are ethical and logistical obstacles to future growth as the current LLM training datasets get close to the 15 trillion token level, which represents the amount of high-quality English text that is available. Since access to private data reservoirs is prohibited, data synthesis appears to be a key future direction for AI research.

Large Language Models 120

Large Language Models LLM Artificial Intelligence Artificial Intelligence 120

Marktechpost

AUGUST 30, 2024

Researchers from Aleph Alpha announce a new foundation model family that includes Pharia-1-LLM-7B-control and Pharia-1-LLM-7B-control-aligned. These models are now publicly available under the Open Aleph License, explicitly allowing for non-commercial research and educational use. Total training spanned 7.7T

LLM 57

LLM Chatbots AI Research AI Researcher 57

Marktechpost

DECEMBER 24, 2023

Additionally, LLM hallucination is an infamous issue that causes LLMs to generate unreliable content. To tackle the shortcomings of existing models, researchers at Microsoft have released InsightPilot, a system that automates the process of data exploration using LLMs. If you like our work, you will love our newsletter.

LLM 134

LLM Automation Insight Engine Data Analysis 134

Marktechpost

MAY 25, 2024

These methods aim to improve LLMs’ reasoning capabilities by refining the consistency and accuracy of generated answers. Researchers from Fudan University, the National University of Singapore, and the Midea AI Research Center have introduced a hierarchical reasoning aggregation framework called AoR (Aggregation of Reasoning).

LLM 128

LLM Natural Language Processing Large Language Models AI Research 128

Marktechpost

APRIL 24, 2024

Researchers at J.P. Morgan AI Research have introduced FlowMind , a system employing LLMs, particularly Generative Pretrained Transformer (GPT), to automate workflows dynamically. In the workflow generation phase, the LLM applies this knowledge to generate and execute code based on user inputs dynamically.

Machine Learning 139

Machine Learning AI Research AI Researcher Large Language Models 139

Marktechpost

JULY 7, 2023

Understanding the personality trait-related properties of the language created by these models is vital as LLMs become the dominant human-computer interaction (HCI) interface, as is learning how to safely, appropriately, and effectively engineer personality profiles generated by LLMs. Check out the Paper.

Large Language Models 109

Large Language Models Explainability AI Research AI Researcher 109

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

LLM 130

LLM Large Language Models Algorithm Machine Learning 130

Marktechpost

MARCH 17, 2024

Vectorview helps bring AI under control by offering a thorough evaluation procedure, ensuring that it works securely and productively for everyone. Subscribe to our AI Research Startup Newsletter Here.

AI Research 57

AI Research AI Researcher LLM Artificial Intelligence 57

Marktechpost

JULY 8, 2024

Some researchers have focused on mechanistic frameworks or pattern analysis through empirical results. The analysis investigates how the LLM’s geometry correlates with its reasoning capabilities, particularly examining the impact of increased input sequence length and number of attention heads.

Large Language Models 125

Large Language Models AI Research AI Researcher LLM 125

Marktechpost

DECEMBER 30, 2023

Therefore, a team of researchers from Imperial College London, Qualcomm AI Research, QUVA Lab, and the University of Amsterdam have introduced LLM Surgeon , a framework for unstructured, semi-structured, and structured LLM pruning that prunes the model in multiple steps, updating the weights and curvature estimates between each step.

Large Language Models 135

Large Language Models Machine Learning LLM Artificial Intelligence 135

Marktechpost

SEPTEMBER 16, 2023

Recent studies show that handling an LLM request can be expensive, up to ten times higher than a traditional keyword search. So, there is a growing need to boost the throughput of LLM serving systems to minimize the per-request expenses. To further reduce memory utilization, the researchers have also deployed vLLM.

Machine Learning 143

Machine Learning LLM Large Language Models Algorithm 143

Marktechpost

JULY 17, 2024

In a notable tribute to Cleopatra, Mistral AI has announced the release of Codestral Mamba 7B , a cutting-edge language model (LLM) specialized in code generation. Based on the Mamba2 architecture, this new model marks a significant milestone in AI and coding technology. Released under the Apache 2.0

LLM 113

LLM Python AI AI 113

Marktechpost

OCTOBER 7, 2023

In addressing the limitations of large language models (LLMs) when capturing less common knowledge and the high computational costs of extensive pre-training, Researchers from Meta introduce Retrieval-Augmented Dual Instruction Tuning (RA-DIT). Researchers introduced RA-DIT for endowing LLMs with retrieval capabilities.

Artificial Intelligence 141

Artificial Intelligence Artificial Intelligence AI Research AI Researcher 141

Marktechpost

SEPTEMBER 13, 2023

These costs limit LLM development to a few major players, restricting research and applications. To address this, the paper introduces a growth strategy to significantly reduce LLM training expenses, emphasizing the need for cost-effective training methods in the field. Check out the Paper and Code.

LLM 128

LLM Large Language Models NLP AI Research 128

Marktechpost

JANUARY 30, 2024

Multimodal understanding and generation have been the subject of research, with examples of models such as Flamingo, BLIP-2, and Kosmos-1, which are capable of processing images, sounds, and even video in addition to text. It converts the LLM’s outputs into several modalities.

Large Language Models 137

Large Language Models AI Research AI Researcher LLM 137

Marktechpost

SEPTEMBER 8, 2023

With a joint embedding space, Point-Bind can be utilized for 3D cross-modal retrieval, any-to-3D generation, 3D zero-shot understanding, and developing a 3D large language model, Point-LLM. The overall pipeline of Point-LLM can be seen in the above image. If you like our work, you will love our newsletter.

AI Research 127

AI Research AI Researcher Large Language Models LLM 127