Unite.AI

OCTOBER 30, 2024

We started from a blank slate and built the first native large language model (LLM) customer experience intelligence and service automation platform. This makes us the central hub, collecting data from all these sources and serving as the intelligence layer on top.

Automation 261

Automation AI AI Generative AI 261

AWS Machine Learning Blog

MARCH 6, 2025

LlamaIndex is a framework for building LLM applications. It simplifies data integration from various sources and provides tools for data indexing, engines, agents, and application integrations. Optimized for search and retrieval, it streamlines querying LLMs and retrieving documents.

LLM 101

LLM Generative AI ML Prompt Engineer 101

Marktechpost

OCTOBER 8, 2024

Each of these specialized sources went through tailored pipelines to preserve data integrity and quality, ensuring that the resulting language models can handle a wide range of topics. TxT360: A New Era for Open-Source AI The release of TxT360 marks a significant leap forward in AI and NLP research.

LLM 114

LLM Large Language Models NLP Data Integration 114

NVIDIA

OCTOBER 23, 2024

70B NVIDIA NIM microservice, running on NVIDIA DGX systems , which accelerated LLM inference 4x compared with the native model. The researchers’ AI-powered data integration and predictive analytics tool, AMRSense, improves accuracy and speeds time to insights on antimicrobial resistance.

LLM 113

LLM Generative AI Natural Language Processing Computer Vision 113

Unite.AI

DECEMBER 6, 2024

When framed in the context of the Intelligent Economy RAG flows are enabling access to information in ways that facilitate the human experience, saving time by automating and filtering data and information output that would otherwise require significant manual effort and time to be created.

AI 130

AI AI Data Platform LLM 130

Marktechpost

DECEMBER 3, 2024

As generative AI continues to grow, the need for an efficient, automated solution to transform various data types into an LLM-ready format has become even more apparent. Meet MegaParse : an open-source tool for parsing various types of documents for LLM ingestion. Don’t Forget to join our 60k+ ML SubReddit.

LLM 102

LLM AI Tools Large Language Models Data Ingestion 102

Towards AI

JANUARY 22, 2025

Setting the Stage: Why Augmentation Matters Imagine youre chatting with an LLM about complex topics like medical research or historical events. Drawbacks: Latency: Fetching and processing external data can slow down response times. Dependency on Retrievers: Performance hinges on the quality and relevance of retrieved data.

Neural Network 105

Neural Network Chatbots Large Language Models NLP 105

Unite.AI

DECEMBER 14, 2023

This can result in biased outcomes and hinder the effectiveness of LLMs on other tasks. Improper cleaning of training data or a lack of representation of real-world data in testing can lead to data contamination. Data contamination can negatively impact LLM performance in various ways.

Large Language Models 167

Large Language Models LLM Artificial Intelligence Artificial Intelligence 167

IBM Journey to AI blog

AUGUST 23, 2023

This data governance requires us to understand the origin, sensitivity, and lifecycle of all the data that we use. Risks of training LLM models on sensitive data Large language models can be trained on proprietary data to fulfill specific enterprise use cases. and watsonx.data.

Large Language Models 167

Large Language Models Data Discovery LLM AI 167

Marktechpost

JUNE 15, 2024

So, it’s possible that even medically-tuned LLMs or general foundation LLMs won’t be able to use this data when reasoning about and suggesting therapies based on individualized health behaviors. Following refinement from the exceptional Gemini Ultra 1.0, All human experts, Gemini Ultra 1.0,

Large Language Models 84

Large Language Models LLM Automation Data Integration 84

ODSC - Open Data Science

APRIL 20, 2023

Data Integrity: The Foundation for Trustworthy AI/ML Outcomes and Confident Business Decisions Let’s explore the elements of data integrity, and why they matter for AI/ML. The World’s First Open Instruction-Tuned LLM Databricks released Dolly 2.0, Databricks Introduces Dolly 2.0:

Deep Learning 52

Deep Learning Data Integration Large Language Models Data Science 52

Marktechpost

APRIL 24, 2024

This issue is pronounced in environments where data integrity and confidentiality are paramount. Existing research in Robotic Process Automation (RPA) has focused on rule-based systems like UiPath and Blue Prism, which automate routine tasks such as data entry and customer service.

Machine Learning 138

Machine Learning AI Researcher AI Research Large Language Models 138

AWS Machine Learning Blog

JUNE 18, 2024

This post presents a solution that uses a generative artificial intelligence (AI) to standardize air quality data from low-cost sensors in Africa, specifically addressing the air quality data integration problem of low-cost sensors. This is done to optimize performance and minimize cost of LLM invocation.

Generative AI 118

Generative AI Data Ingestion Python LLM 118

Marktechpost

APRIL 9, 2024

By facilitating efficient data integration and enhancing LLM performance, LlamaIndex is tailored for scenarios where rapid, accurate access to structured data is paramount. Key Features of LlamaIndex: Data Connectors: Facilitates the integration of various data sources, simplifying the data ingestion process.

Artificial Intelligence 117

Artificial Intelligence Artificial Intelligence Large Language Models Data Ingestion 117

AWS Machine Learning Blog

MARCH 14, 2025

Finally, metrics such as ROUGE and F1 can be fooled by shallow linguistic similarities (word overlap) between the ground truth and the LLM response, even when the actual meaning is very different. Prior to Amazon, Evangelia completed her Ph.D. at Language Technologies Institute, Carnegie Mellon University.

Generative AI 86

Generative AI Responsible AI Automation LLM 86

Marktechpost

JANUARY 27, 2024

However, studies have also shown that LLMs can be readily programmed to produce false information, intentionally or unintentionally, due to their ability to mimic human speech, which may include hallucinations, and their ability to follow human commands. This makes it harder for humans and detectors to identify.

LLM 141

LLM Large Language Models Explainability Prompt Engineer 141

ODSC - Open Data Science

MARCH 3, 2025

Multimodal Data Integration isCritical Relying solely on structured EHR data risks missing up to 80% of patient context. Combining notes, lab results, imaging data, and prescription histories give a fuller picturevital for accurate risk prediction and decisionsupport. Careful pruning to eliminate low-quality data.

Large Language Models 52

Large Language Models NLP LLM Natural Language Processing 52

AWS Machine Learning Blog

MARCH 10, 2025

With this LLM, CreditAI was now able to respond better to broader, industry-wide queries than before. The Q&A handler, running on AWS Fargate, orchestrates the complete query response cycle by coordinating between services and processing responses through the LLM pipeline.

DevOps 91

DevOps Metadata Auto-complete Automation 91

AWS Machine Learning Blog

JUNE 21, 2024

The LLM models augment SOC investigations with knowledge from eSentire’s security experts and security data, enabling higher-quality investigation outcomes while also reducing time to investigate. Therefore, eSentire decided to build their own LLM using Llama 1 and Llama 2 foundational models.

Generative AI 115

Generative AI LLM AI AI 115

Marktechpost

AUGUST 15, 2024

These models struggle with processing temporal dynamics and integrating audio-visual data, limiting their effectiveness in predicting future events and performing comprehensive multimodal analyses. Addressing these complexities is crucial for enhancing Video-LLM performance.

Large Language Models 114

Large Language Models LLM Data Integration ML 114

ODSC - Open Data Science

MARCH 31, 2025

Beyond Benchmarks: Evaluating AI Agents in the RealWorld Sinan Ozdemir, AI & LLM Expert, Author, and Founder + CTO of LoopGenius Benchmarks can only take you so far. The session shares lessons on data integration, compliance, and domain adaptationmaking it essential for anyone building industry-specific agents.

Software Engineer 52

Software Engineer AI AI Large Language Models 52

IBM Journey to AI blog

JANUARY 10, 2024

On the other hand, the valuable data needed to gain those insights has to stay confidential and is only allowed to be shared with certain parties or no third parties at all. So, is there a way to gain insights of valuable data through AI without the need to expose the data set or the AI model (LLM, ML, DL) to another party?

AI Modeling 221

AI Modeling Data Integration Machine Learning LLM 221

Marktechpost

MARCH 2, 2024

The heterogeneity of data not only poses a roadblock in terms of compatibility but also affects the consistency and quality of agent training. Existing methodologies, while commendable, often need to address the multifaceted challenges presented by this data diversity.

Large Language Models 135

Large Language Models Artificial Intelligence Artificial Intelligence Conversational AI 135

Marktechpost

MAY 9, 2024

When working with unstructured data from many sources, including HTML, PDFs, CSVs, PNGs, and more, these capabilities are quite helpful because formatting problems, like unusual symbols or word separations, are frequently encountered.

NLP 120

NLP Natural Language Processing Metadata Large Language Models 120

Unite.AI

SEPTEMBER 24, 2024

The integration process typically starts with setting up NVIDIA NIM by installing the necessary NVIDIA drivers and CUDA toolkit, configuring the system to support NIM, and deploying models in a containerized environment. Next, LangChain is installed and configured to integrate with NVIDIA NIM.

Inference Engine 157

Inference Engine Large Language Models AI AI 157

Unite.AI

FEBRUARY 21, 2024

All of these features are extremely helpful for modern data teams, but what makes Airflow the ideal platform is that it is an open-source project –– meaning there is a community of Airflow users and contributors who are constantly working to further develop the platform, solve problems and share best practices.

LLM 144

LLM Data Platform Software Engineer Chatbots 144

Marktechpost

MARCH 22, 2024

Second, for each provided base table T, the researchers use data discovery algorithms to find possible related candidate tables. This facilitates a series of data transformations and enhances the effectiveness of the proposed LLM-based system. Examples of DATALORE utilization.

Machine Learning 135

Machine Learning Explainability Categorization ETL 135

Bugra Akyildiz

JUNE 29, 2024

Analytics/Answers are included(batteries included in LLM): In the consumption of the data after data janitor work, we no longer have to depend on tables, spreadsheets or any other your favorite analytics tool for messaging and formatting this dataset to build the decks/presentations that you want to communicate the insights and learnings.

LLM 40

LLM Big Data Data Quality ETL 40

Marktechpost

AUGUST 26, 2024

These tools are made to detect instances in which AI falsifies data. Pythia Modern AI hallucination detection tool Pythia is intended to guarantee LLM outputs that are accurate and dependable. The top AI hallucination detection technologies have been discussed below. Tests of models such as GPT-3.5,

Artificial Intelligence 122

Artificial Intelligence Artificial Intelligence AI AI 122

NVIDIA

OCTOBER 23, 2024

Supporting the company’s goal of reaching net-zero carbon status by 2035, the 5,000-acre integrated photovoltaic manufacturing plant is meant to be India’s largest solar gigafactory. It is targeted at helping drive advances in sovereign LLM frameworks, agentic AI and physical AI.

Robotics 128

Robotics Automation Large Language Models Generative AI 128

Towards AI

JANUARY 13, 2025

The initial round utilizes a powerful pre-trained LLM, DeepSeek-Coder-V2-Instruct (236B), to bootstrap the process. This ensures the generation of high-quality reasoning trajectories, significantly enhancing the training datas integrity. Round 1: Bootstrapping. Process Preference Model (PPM). Outperforming OpenAI o1.

Python 105

Python Machine Learning LLM OpenAI 105

Unite.AI

JUNE 14, 2024

Over the course of his career, Erik has been at the forefront of integrating building large-scale platforms and integrating AI into search technologies, significantly enhancing user interaction and information accessibility.

Large Language Models 130

Large Language Models Generative AI AI Tools AI 130

AWS Machine Learning Blog

SEPTEMBER 6, 2023

Lambda functions also construct the prompts from the sanitized user input in the respective format expected by the LLM. These Lambda functions also reformat the output from the LLMs and send the response back to the user. Also, delete the output data in Amazon S3 you created while running the application workflow.

Generative AI 114

Generative AI Large Language Models AI AI 114

AWS Machine Learning Blog

APRIL 29, 2024

Close collaboration with AWS Trainium has also played a major role in making the Arcee platform extremely performant, not only accelerating model training but also reducing overall costs and enforcing compliance and data integrity in the secure AWS environment. To learn more about Arcee.ai, visit Arcee.ai or reach out to our team.

Large Language Models 118

Large Language Models NLP Machine Learning Artificial Intelligence 118

AWS Machine Learning Blog

SEPTEMBER 28, 2023

Using this context, modified prompt is constructed required for the LLM model. A request is posted to the Amazon Bedrock Claude-2 model to get the response from the LLM model selected. The data is post-processed from the LLM response and a response is sent to the user.

Generative AI 115

Generative AI Artificial Intelligence Artificial Intelligence Large Language Models 115

AWS Machine Learning Blog

OCTOBER 2, 2024

However, scaling up generative AI and making adoption easier for different lines of businesses (LOBs) comes with challenges around making sure data privacy and security, legal, compliance, and operational complexities are governed on an organizational level. In this post, we discuss how to address these challenges holistically.

Generative AI 113

Generative AI Data Ingestion AI AI 113

AWS Machine Learning Blog

APRIL 7, 2025

The original query is augmented with the retrieved documents, providing context for the large language model (LLM). The LLM generates a response based on the augmented query and retrieved context. This granularity supports better version control and data lineage tracking, which are crucial for data integrity and compliance.

Metadata 70

Metadata Data Ingestion Generative AI Natural Language Processing 70