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 Researcher AI Research 140

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 Researcher 157

AI Researcher AI Research Machine Learning AI 157

Marktechpost

SEPTEMBER 24, 2023

Their approach is straightforward, starting with a 7-billion-parameter Large Language Model (LLM) architecture sourced from LLaMa 2 [25] and initializing it from scratch. The post Large Language Models Surprise Meta AI Researchers at Compiler Optimization! If you like our work, you will love our newsletter.

Large Language Models 139

Large Language Models AI Researcher AI Research LLM 139

Marktechpost

OCTOBER 13, 2024

Don’t Forget to join our 50k+ ML SubReddit [Upcoming Event- Oct 17, 2024] RetrieveX – The GenAI Data Retrieval Conference (Promoted) The post Salesforce AI Research Proposes Dataset-Driven Verifier to Improve LLM Reasoning Consistency appeared first on MarkTechPost.

AI Researcher 115

AI Researcher AI Research LLM Large Language Models 115

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 218

LLM Large Language Models Big Data Neural Network 218

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 131

Machine Learning AI Researcher AI Research Large Language Models 131

Marktechpost

OCTOBER 15, 2024

The key innovation in PAVs is using a “prover policy,” distinct from the base policy that the LLM is following. This enables the LLM to explore a wider range of potential solutions, even when early steps do not immediately lead to a correct solution. All credit for this research goes to the researchers of this project.

Machine Learning 117

Machine Learning LLM AI Researcher AI Research 117

Marktechpost

OCTOBER 17, 2024

Researchers from Google Cloud AI, Google DeepMind, and the University of Washington have proposed a new approach called MODEL SWARMS , which utilizes swarm intelligence to adapt LLMs through collaborative search in the weight space.

LLM 112

LLM Algorithm AI Researcher AI Research 112

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 Researcher AI Research Large Language Models 139

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 Researcher AI Research 141

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 Researcher AI Research LLM 137

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 LLM AI Researcher 127

Marktechpost

JANUARY 14, 2024

Patchscopes is a technique that extracts specific information from the hidden layers of an LLM and separates it into different inference processes. The framework can also decode specific attributes from LLM representations, particularly in early layers where other methods struggle. If you like our work, you will love our newsletter.

Large Language Models 140

Large Language Models AI Researcher AI Research Neural Network 140

Marktechpost

JANUARY 5, 2024

While Document AI (DocAI) has made significant strides in areas such as question answering, categorization, and extraction, real-world applications continue to face persistent hurdles related to accuracy, reliability, contextual understanding, and generalization to new domains. The team has summarized their primary contributions as follows.

Large Language Models 135

Large Language Models AI Researcher AI Research Categorization 135

Marktechpost

MARCH 3, 2024

Empirical evidence from the research highlights the superiority of MobileLLM over existing models within the same parameter constraints. Demonstrating notable improvements in accuracy across a breadth of benchmarks, MobileLLM sets a new standard for on-device LLM deployment. If you like our work, you will love our newsletter.

Machine Learning 132

Machine Learning AI Researcher AI Research Natural Language Processing 132

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 Researcher 120

AI Researcher AI Research Large Language Models LLM 120

Marktechpost

FEBRUARY 20, 2024

The research team from NVIDIA has introduced OpenMathInstruct-1, a novel dataset comprising 1.8 million problem-solution pairs to improve mathematical reasoning in LLMs. If the base LLM generated a solution that led to the correct answer, it was included in the finetuning dataset.

AI Researcher 130

AI Researcher AI Research LLM AI 130

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 Researcher 132

AI Researcher AI Research LLM AI 132

Marktechpost

DECEMBER 27, 2024

Researchers from Meta, AITOMATIC, and other collaborators under the Foundation Models workgroup of the AI Alliance have introduced SemiKong. SemiKong represents the worlds first semiconductor-focused large language model (LLM), designed using the Llama 3.1 Trending: LG AI Research Releases EXAONE 3.5:

LLM 122

LLM Large Language Models AI Tools Automation 122

Marktechpost

OCTOBER 16, 2024

Specifically, while LLMs are becoming capable of handling longer input sequences, the increase in retrieved information can overwhelm the system. The challenge lies in making sure that the additional context improves the accuracy of the LLM’s outputs rather than confusing the model with irrelevant information.

LLM 100

LLM AI Researcher AI Research Inference Engine 100

Marktechpost

MARCH 31, 2024

LITA does not depend on the underlying Image LLM architecture and can be easily adapted to other base architectures. T × M is a large number that usually cannot be directly processed by the LLM module. All the input tokens are then jointly processed by the LLM module sequentially.

AI Researcher 125

AI Researcher AI Research LLM Large Language Models 125

Marktechpost

MAY 25, 2024

This implies that even in the lack of contextual narratives, the LLM has a distinct advantage in managing complex financial facts. Don’t Forget to join our 42k+ ML SubReddit The post This AI Research from the University of Chicago Explores the Financial Analytical Capabilities of Large Langauge Models (LLMs) appeared first on MarkTechPost.

AI Researcher 134

AI Researcher AI Research Large Language Models Machine Learning 134

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 Researcher AI Research LLM 125

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 117

AI Researcher AI Research Data Scarcity Prompt Engineering 117

Marktechpost

OCTOBER 24, 2024

Researchers from Salesforce AI Research have proposed Programmatic VLM Evaluation (PROVE), a new benchmarking paradigm that evaluates VLM responses to open-ended visual queries. The PROVE benchmark uses detailed scene graph representations and executable programs to verify the correctness of VLM responses.

AI Researcher 116

AI Researcher AI Research Inference Engine Large Language Models 116

Marktechpost

MARCH 2, 2024

The input, a taxonomy, has been created with minimal human effort through LLM prompting and verification. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses…. It is scalable, producing instructions on an enormous scale, and task-agnostic, spanning a wide range of disciplines.

Large Language Models 138

Large Language Models Artificial Intelligence Artificial Intelligence AI Researcher 138

Marktechpost

MARCH 8, 2024

API-BLEND is a hybrid dataset enriched by human-annotated data and LLM-assisted generation, covering over 178,000 instances across training, development, and testing phases. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses…. If you like our work, you will love our newsletter.

AI Researcher 126

AI Researcher AI Research Large Language Models Conversational AI 126

Marktechpost

OCTOBER 7, 2023

This means that LLMs should be able to understand and generate text based on substantial amounts of preceding context, which is particularly important for tasks involving lengthy documents, multi-turn conversations, or complex problem-solving. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter.

AI Researcher 135

AI Researcher AI Research Natural Language Processing Large Language Models 135

Marktechpost

DECEMBER 31, 2023

Two methods have been used to gather hallucinations which include using sampling replies produced by an LLM conditioned on inputs and introducing inconsistencies into reference inputs or outputs by editing. The transformer’s internal representations emphasize extrinsic hallucinations- i.e., those connected to the outside world more.

AI Researcher 135

AI Researcher AI Research Large Language Models Natural Language Processing 135

Marktechpost

DECEMBER 18, 2024

Trending: LG AI Research Releases EXAONE 3.5: Three Open-Source Bilingual Frontier AI-level Models Delivering Unmatched Instruction Following and Long Context Understanding for Global Leadership in Generative AI Excellence.

AI Researcher 80

AI Researcher AI Research LLM Prompt Engineering 80

AI News

MARCH 1, 2024

Founded in 2015 as a nonprofit AI research lab, OpenAI transitioned into a commercial entity in 2020. Musk, who has long voiced concerns about the risks posed by AI, has called for robust government regulation and responsible AI development.

OpenAI 282

OpenAI Big Data Responsible AI LLM 282

Marktechpost

DECEMBER 28, 2023

This situation necessitates a more robust and adaptive approach to LLM security. The study introduces an innovative methodology for improving the security of LLMs. However, such measures have limitations, particularly when faced with sophisticated methods to bypass these safeguards. If you like our work, you will love our newsletter.

AI Researcher 130

AI Researcher AI Research Large Language Models AI 130

Unite.AI

FEBRUARY 7, 2024

In addition, LLMOps provides techniques to improve the data quality, diversity, and relevance and the data ethics, fairness, and accountability of LLMs. Moreover, LLMOps offers methods to enable the creation and deployment of complex and diverse LLM applications by guiding and enhancing LLM training and evaluation.

Machine Learning 288

Machine Learning Large Language Models LLM BERT 288

Marktechpost

DECEMBER 19, 2024

Hugging Face Releases Picotron: A New Approach to LLM Training Hugging Face has introduced Picotron, a lightweight framework that offers a simpler way to handle LLM training. 405B, and bridging the gap between academic research and industrial-scale applications. Trending: LG AI Research Releases EXAONE 3.5:

LLM 109

LLM Natural Language Processing Large Language Models AI Researcher 109

Marktechpost

JUNE 21, 2024

The gte-Qwen2-7B-instruct model is trained based on the Qwen2-7B LLM model, which is present in the Qwen2 series models released by the Qwen team recently. In conclusion, Alibaba researchers have released the gte-Qwen2-7B-instruct model, succeeding the previous gte-Qwen1.5-7B-instruct 7B-instruct model.

AI Researcher 111

AI Researcher AI Research BERT Natural Language Processing 111

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 130

LLM Neural Network OpenAI Large Language Models 130

Marktechpost

NOVEMBER 24, 2024

One promising solution is Speculative Decoding (SD), a method designed to accelerate LLM inference without compromising generated output quality. These models must align with the target LLM’s vocabulary and achieve high acceptance rates, a challenging requirement given the incompatibility issues in existing approaches.

LLM 85

LLM AI Researcher AI Research Auto-complete 85