Towards AI

OCTOBER 5, 2023

As generative AI becomes increasingly prevalent, the responsibility to wield its power ethically and sustainably has become a paramount concern. In this article, we will delve into the concept of Responsible AI and explore how major companies are integrating it into their products.

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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.

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Machine Learning Large Language Models LLM BERT 294

ODSC - Open Data Science

AUGUST 24, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. are harnessed to channel LLMs output. Auto Eval Common Metric Eval Human Eval Custom Model Eval 3.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Responsible AI 52

AWS Machine Learning Blog

DECEMBER 5, 2023

New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases. Speed is of the essence, and adoption of LLM technologies can make or break a business’s competitive advantage. This optimization pass is delivered through an extension to PyTorch.

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ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

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Mlearning.ai

JULY 8, 2023

Introduction Create ML Ops for LLM’s Build end to end development and deployment cycle. Add Responsible AI to LLM’s Add Abuse detection to LLM’s. High level process and flow LLM Ops is people, process and technology. LLM Ops flow — Architecture Architecture explained.

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Large Language Models LLM Prompt Engineer Prompt Engineering 52

Allen AI

FEBRUARY 1, 2024

With OLMo we hope to work against this trend and empower the research community to come together to better understand and engage with language models in a scientific way, leading to more responsible AI technology that benefits everyone.”

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LLM Large Language Models AI Researcher AI Research 76

Snorkel AI

JANUARY 26, 2024

Snorkel AI’s Jan. 25 Enterprise LLM Summit: Building GenAI with Your Data drew over a thousand engaged attendees across three and a half hours and nine sessions. The eight speakers at the event—the second in our Enterprise LLM series—united around one theme: AI data development drives enterprise AI success.

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LLM Large Language Models Explainability Data Science 64

Unite.AI

DECEMBER 1, 2023

As we continue to integrate AI more deeply into various sectors, the ability to interpret and understand these models becomes not just a technical necessity but a fundamental requirement for ethical and responsible AI development. Impact of the LLM Black Box Problem 1.

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LLM Machine Learning Explainability Algorithm 264

ODSC - Open Data Science

JANUARY 23, 2024

One of the biggest topics we touched on was the concept of retrieval augmented generation, better known as RAG , for LLMs. In this post, I take a closer look at how RAG has emerged as the ideal starting point when it comes to designing enterprise LLM-powered applications. You can imagine it as a pyramid, where… Train from scratch.

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LLM Data Scientist Data Science Deep Learning 52

AI News

MARCH 1, 2024

Musk, who has long voiced concerns about the risks posed by AI, has called for robust government regulation and responsible AI development. See also: Mistral AI unveils LLM rivalling major players Want to learn more about AI and big data from industry leaders?

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OpenAI Big Data Responsible AI LLM 245

Marktechpost

MARCH 17, 2024

Companies can benefit from Vectorview’s assistance in avoiding costly mistakes and establishing user confidence by assuring the responsible deployment of AI. To ensure AI works as intended and to reduce security concerns, Vectorview supports responsible AI development.

AI Researcher 57

AI Researcher AI Research LLM Artificial Intelligence 57

Snorkel AI

JANUARY 26, 2024

Snorkel AI’s Jan. 25 Enterprise LLM Summit: Building GenAI with Your Data drew over a thousand engaged attendees across three and a half hours and nine sessions. The eight speakers at the event—the second in our Enterprise LLM series—united around one theme: AI data development drives enterprise AI success.

LLM 52

LLM Large Language Models Explainability Data Science 52

TheSequence

MAY 29, 2023

In this post Toloka showcases Human-in-the-Loop using StarCoder, a code LLM, as an example. This successful implementation demonstrates how responsible AI and high-performing models can align. The risks of harmful results do not align with the principles of Responsible AI.

LLM 52

LLM Responsible AI Natural Language Processing Software Engineer 52

Unite.AI

DECEMBER 14, 2023

This can result in biased outcomes and hinder the effectiveness of LLMs on other tasks. Data contamination can negatively impact LLM performance in various ways. Various techniques are employed to identify data contamination in LLMs. Data security plays a critical role in LLMs.

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Large Language Models LLM Artificial Intelligence Artificial Intelligence 173

John Snow Labs

DECEMBER 23, 2023

In the era of rapidly evolving Large Language Models (LLMs) and chatbot systems , we highlight the advantages of using LLM systems based on RAG (Retrieval Augmented Generation). RAG LLMs have the advantage of reducing hallucinations, by explaining the source of each fact, and enabling the use of private documents to answer questions.

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LLM Chatbots Large Language Models NLP 52

John Snow Labs

DECEMBER 23, 2023

In the era of rapidly evolving Large Language Models (LLMs) and chatbot systems, we highlight the advantages of using LLM systems based on RAG (Retrieval Augmented Generation). RAG LLMs have the advantage of reducing hallucinations, by explaining the source of each fact, and enabling the use of private documents to answer questions.

LLM 52

LLM Chatbots Large Language Models NLP 52

John Snow Labs

OCTOBER 2, 2023

Moreover, LangTest extends its capabilities beyond just frameworks, offering compatibility with numerous LLM sources like OpenAI and AI21, enabling users to harness the power of diverse language models in their NLP pipelines.

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Responsible AI Automation NLP Natural Language Processing 52

NVIDIA

MAY 1, 2024

Say It Out Loud ChatRTX uses retrieval-augmented generation , NVIDIA TensorRT-LLM software and NVIDIA RTX acceleration to bring chatbot capabilities to RTX-powered Windows PCs and workstations. The latest version adds support for additional LLMs, including Gemma, the latest open, local LLM trained by Google.

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AI Modeling Neural Network LLM Metadata 115

ODSC - Open Data Science

SEPTEMBER 28, 2023

5 Must-Have Skills to Get Into Prompt Engineering From having a profound understanding of AI models to creative problem-solving, here are 5 must-have skills for any aspiring prompt engineer. 9 Open Source LLMs and Agents to Watch These are some interesting and new LLMs and LLM agents that we are following and that you should be too.

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Prompt Engineer Prompt Engineering LLM Data Scientist 52

Marktechpost

APRIL 21, 2024

This microlearning module is perfect for those curious about how AI can generate content and innovate across various fields. Introduction to Responsible AI : This course focuses on the ethical aspects of AI technology. It introduces learners to responsible AI and explains why it is crucial in developing AI systems.

Artificial Intelligence 137

Artificial Intelligence Artificial Intelligence BERT Large Language Models 137

AI News

MARCH 7, 2024

Indeed, as Anthropic prompt engineer Alex Albert pointed out, during the testing phase of Claude 3 Opus, the most potent LLM (large language model) variant, the model exhibited signs of awareness that it was being evaluated. Stability AI, in previewing Stable Diffusion 3, noted that the company believed in safe, responsible AI practices.

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Prompt Engineer Prompt Engineering OpenAI Large Language Models 248

Marktechpost

APRIL 11, 2024

These courses are crafted to provide learners with the right knowledge, tools, and techniques required to excel in AI. Here’s a look at the most relevant short courses available: Red Teaming LLM Applications This course offers an essential guide to enhancing the safety of LLM applications through red teaming.

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Artificial Intelligence Artificial Intelligence LLM Prompt Engineer 113

Marktechpost

MAY 6, 2024

The Llama team’s future goals include extending Llama 3 into multilingual and multimodal domains, boosting contextual understanding, and continuously advancing fundamental LLM functions like code generation and reasoning. In conclusion, Llama3-ChatQA-1.5

Large Language Models 119

Large Language Models Natural Language Processing NLP Responsible AI 119

Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries. Retrieval augments LLMs by allowing huge external context.

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Large Language Models Prompt Engineer Prompt Engineering LLM 130

TheSequence

JANUARY 14, 2024

Created Using DALL-E Next Week in The Sequence: Edge 361: Our current series about LLM reasoning explores the tree-of-thought method including its original paper. We also dive into LangChain’s LangSmith tool for LLM debugging and evaluation. B LLM pretrained on one trillion tokens.

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Generative AI LLM AI AI 105

John Snow Labs

SEPTEMBER 5, 2023

Topics Covered Include Large Language Models, Semantic Search, ChatBots, Responsible AI, and the Real-World Projects that Put Them to Work John Snow Labs , the healthcare AI and NLP company and developer of the Spark NLP library, today announced the agenda for its annual NLP Summit, taking place virtually October 3-5.

Natural Language Processing 98

Natural Language Processing NLP Large Language Models Responsible AI 98

Marktechpost

NOVEMBER 23, 2023

During Data Science Conference 2023 in Belgrade on Thursday, 23 November, it was announced that Real AI won the ISCRA project. Real AI is chosen to build Europe’s first-ever Human-Centered LLM on the world’s 4th largest AI Computer Cluster ‘LEONARDO’. – Tarry Singh , CEO of Real AI B.V.

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Large Language Models LLM AI AI 125

Unite.AI

MARCH 15, 2024

It uses advanced AI and semantic search technologies to transform online search. Moreover, the search engine uses LLM combined with live data to answer questions and summarize information based on the top sources. AI Summaries: Provides AI generated summaries with images and videos for insights.

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AI AI OpenAI LLM 306

ODSC - Open Data Science

FEBRUARY 6, 2024

Stay at the forefront of increasingly ubiquitous technology with the leading AI training conference, ODSC East this April 23rd-25th in Boston. Check out some of the LLM-focused training sessions, workshops, and talks you’ll find at the conference. Large Language Models are everywhere these days.

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Large Language Models LLM Big Data NLP 52

ODSC - Open Data Science

OCTOBER 26, 2023

With the rapid advance of AI across industries, responsible AI has become a hot topic for decision-makers and data scientists alike. But with the advent of easy-to-access generative AI, it’s now more important than ever. There are several reasons why responsible AI is critical as the technology continues to advance.

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Generative AI Responsible AI AI AI 98

ODSC - Open Data Science

JANUARY 31, 2024

The fact is that these AI powerhouses can generate text, translate languages, write different kinds of creative content, and even answer your questions in an informative way. But, now that you have the makings of an LLM or even a model, how will your team turn your model into an AI beast that can enhance your company’s productivity?

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Large Language Models LLM Data Science NLP 52

Marktechpost

DECEMBER 24, 2023

This paper (from a team of researchers from the University of Massachusetts Amherst, Columbia University, Google, Stanford University, and New York University) is a significant contribution to the ongoing discourse surrounding LLM safety, as it meticulously explores the intricate dynamics of these models during the finetuning process.

Machine Learning 113

Machine Learning Large Language Models Algorithm LLM 113

Marktechpost

DECEMBER 12, 2023

They propose distinct guidelines for labeling LLM output (responses from the AI model) and human requests (input to the LLM). Thus, the semantic difference between the user and agent responsibilities can be captured by Llama Guard. Tools to evaluate the prevalence of insecure code proposals.

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Generative AI AI Modeling Large Language Models LLM 104

Flipboard

AUGUST 6, 2023

The tool connects Jupyter with large language models (LLMs) from various providers, including AI21, Anthropic, AWS, Cohere, and OpenAI, supported by LangChain. Designed with responsible AI and data privacy in mind, Jupyter AI empowers users to choose their preferred LLM, embedding model, and vector database to suit their specific needs.

Artificial Intelligence 113

Artificial Intelligence Artificial Intelligence Metadata Large Language Models 113

John Snow Labs

OCTOBER 19, 2023

The post Detecting and Evaluating Sycophancy Bias: An Analysis of LLM and AI Solutions appeared first on John Snow Labs. It provides valuable insights into evaluating language models’ performance in various linguistic challenges.

LLM 52

LLM NLP Large Language Models Categorization 52

John Snow Labs

APRIL 23, 2024

Finally, the survey explores the large amount of remaining work in applying responsible AI principles in healthcare GenAI projects. Worse, a majority of GenAI projects have not yet been tested for any LLM requirements cited. This suggests that no aspect of responsible AI is being tested by more than a third of organizations.

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Generative AI Large Language Models Responsible AI Explainability 52