Marktechpost

OCTOBER 11, 2023

The team started with a collection of 15 ML engineering projects spanning various fields, with experiments that are quick and cheap to run. At a high level, they simply ask the LLMs to take the next action, using a prompt that is automatically produced based on the available information about the task and previous steps.

Machine Learning 104

Machine Learning AI Researcher AI Research Convolutional Neural Networks 104

Towards AI

SEPTEMBER 22, 2023

However, with the advent of LLM, everything has changed. LLMs seem to rule them all, and interestingly, no one knows how LLMs work. Now, people are questioning whether they should still develop solutions other than LLM but know little about how to make LLM-based solutions accountable. Everyone was happy.

Prompt Engineer 57

Prompt Engineer Prompt Engineering LLM ML 57

Flipboard

JUNE 20, 2023

Machine learning (ML) engineers have traditionally focused on striking a balance between model training and deployment cost vs. performance. This is important because training ML models and then using the trained models to make predictions (inference) can be highly energy-intensive tasks.

Machine Learning 94

Machine Learning BERT Deep Learning ML Engineer 94

TheSequence

MAY 21, 2023

🔎 ML Research RL for Open Ended LLM Conversations Google Research published a paper detailing dynamic planning, a reinforcement learning(RL) based technique to guide open ended conversations. Self-Aligned LLM IBM Research published a paper introducing Dromedary, a self-aligned LLM trained with minimum user supervision.

Generative AI 64

Generative AI ML Engineer ETL LLM 64

AWS Machine Learning Blog

JANUARY 10, 2024

Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. The large machine learning (ML) model development lifecycle requires a scalable model release process similar to that of software development. The input to the training pipeline is the features dataset.

ML 98

ML Machine Learning ETL Data Scientist 98

ODSC - Open Data Science

JANUARY 10, 2024

Takeaways include: The dangers of using post-hoc explainability methods as tools for decision-making, and where traditional ML falls short. You will also become familiar with the concept of LLM as a reasoning engine that can power your applications, paving the way to a new landscape of software development in the era of Generative AI.

Large Language Models 52

Large Language Models LLM Deep Learning ML 52

ODSC - Open Data Science

DECEMBER 7, 2023

How to Add Domain-Specific Knowledge to an LLM Based on Your Data In this article, we will explore one of several strategies and techniques to infuse domain knowledge into LLMs, allowing them to perform at their best within specific professional contexts by adding chunks of documentation into an LLM as context when injecting the query.

Explainable AI 98

Explainable AI Data Scientist Data Science Python 98

Snorkel AI

MAY 1, 2024

phData Senior ML Engineer Ryan Gooch recently evaluated options to accelerate ML model deployment with Snorkel Flow and AWS SageMaker. Ultimately teams can rapidly generate high-quality data sets, fine-tune an existing model, or distill an LLM to a smaller, specialized model with reduced training and inference costs.

AI Developer 52

AI Developer AI Development Machine Learning AI 52

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Furthermore, we deep dive on the most common generative AI use case of text-to-text applications and LLM operations (LLMOps), a subset of FMOps. The ML consumers are other business stakeholders who use the inference results (predictions) to drive decisions. The following figure illustrates the topics we discuss.

Generative AI 102

Generative AI Prompt Engineer Prompt Engineering AI 102

TheSequence

JANUARY 19, 2024

You probably don’t need ML engineers In the last two years, the technical sophistication needed to build with AI has dropped dramatically. ML engineers used to be crucial to AI projects because you needed to train custom models from scratch. At the same time, the capabilities of AI models have grown.

Prompt Engineer 59

Prompt Engineer Prompt Engineering Generative AI Large Language Models 59

TheSequence

NOVEMBER 12, 2023

📌 ML Engineering Event: Join Meta, PepsiCo, RiotGames, Uber & more at apply(ops) apply(ops) is in two days! Databricks’ CEO Ali Ghodsi will also be joining Tecton CEO Mike Del Balso for a fireside chat about LLMs, real-time ML, and other trends in ML. Register today—it’s free!

OpenAI 64

OpenAI Generative AI ML Prompt Engineer 64

Heartbeat

OCTOBER 5, 2023

Unsurprisingly, Machine Learning (ML) has seen remarkable progress, revolutionizing industries and how we interact with technology. The emergence of Large Language Models (LLMs) like OpenAI's GPT , Meta's Llama , and Google's BERT has ushered in a new era in this field. Their mission?

Large Language Models 52

Large Language Models DevOps Prompt Engineer Prompt Engineering 52

AWS Machine Learning Blog

JUNE 8, 2023

We have included a sample project to quickly deploy an Amazon Lex bot that consumes a pre-trained open-source LLM. This mechanism allows an LLM to recall previous interactions to keep the conversation’s context and pace. We also use LangChain, a popular framework that simplifies LLM-powered applications.

Generative AI 73

Generative AI LLM Large Language Models Machine Learning 73

databricks

SEPTEMBER 28, 2023

We are excited to announce public preview of GPU and LLM optimization support for Databricks Model Serving! With this launch, you can deploy.

LLM 122

LLM ML Engineer ML Data Science 122

TheSequence

NOVEMBER 5, 2023

Frank Liu, head of AI & ML at Zilliz, the company behind widely adopted open source vector database Milvus, shares his red hot takes on the latest topics in AI, ML, LLMs and more! 🛠 Real World ML LLM Architectures at GitHub GitHub ML engineers discuss the architecture of LLMs apps —> Read more.

ML 52

ML ML Engineer Chatbots Big Data 52

TheSequence

JULY 12, 2023

In 2018, I joined Cruise and cofounded the ML Infrastructure team there. We built many critical platform systems that enabled the ML teams to develop and ship models much faster, which contributed to the commercial launch of robotaxis in San Francisco in 2022. This required large end-to-end pipelines.

ML 97

ML Python Machine Learning Metadata 97

Chatbots Life

MAY 16, 2023

10Clouds is a software consultancy, development, ML, and design house based in Warsaw, Poland. Services : AI Solution Development, ML Engineering, Data Science Consulting, NLP, AI Model Development, AI Strategic Consulting, Computer Vision.

Generative AI 98

Generative AI Chatbots Conversational AI Software Development 98

Snorkel AI

JUNE 9, 2023

Snorkel Foundry will allow customers to programmatically curate unstructured data to pre-train an LLM for a specific domain. Leveraging Data-centric AI for Document Intelligence and PDF Extraction Snorkel AI ML Engineer Ashwini Ramamoorthy highlighted the challenges of extracting entities from semi-structured documents.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

Snorkel AI

JUNE 9, 2023

Snorkel Foundry will allow customers to programmatically curate unstructured data to pre-train an LLM for a specific domain. Leveraging Data-centric AI for Document Intelligence and PDF Extraction Snorkel AI ML Engineer Ashwini Ramamoorthy highlighted the challenges of extracting entities from semi-structured documents.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

AWS Machine Learning Blog

AUGUST 1, 2023

Artificial intelligence (AI) and machine learning (ML) models have shown great promise in addressing these challenges. Amazon SageMaker , a fully managed ML service, provides an ideal platform for hosting and implementing various AI/ML-based summarization models and approaches. No ML engineering experience required.

ML 74

ML Large Language Models NLP Natural Language Processing 74

Snorkel AI

OCTOBER 27, 2023

Snorkel AI held its Enterprise LLM Virtual Summit on October 26, 2023, drawing an engaged crowd of more than 1,000 attendees across three hours and eight sessions that featured 11 speakers. How to fine-tune and customize LLMs Hoang Tran, ML Engineer at Snorkel AI, outlined how he saw LLMs creating value in enterprise environments.

LLM 69

LLM Data Scientist Machine Learning Large Language Models 69

Snorkel AI

OCTOBER 27, 2023

Snorkel AI held its Enterprise LLM Virtual Summit on October 26, 2023, drawing an engaged crowd of more than 1,000 attendees across three hours and eight sessions that featured 11 speakers. How to fine-tune and customize LLMs Hoang Tran, ML Engineer at Snorkel AI, outlined how he saw LLMs creating value in enterprise environments.

LLM 59

LLM Data Scientist Machine Learning Large Language Models 59

AWS Machine Learning Blog

MARCH 14, 2024

We formulated a text-to-SQL approach where by a user’s natural language query is converted to a SQL statement using an LLM. This data is again provided to an LLM, which is asked to answer the user’s query given the data. The relevant information is then provided to the LLM for final response generation.

Generative AI 100

Generative AI LLM AI AI 100

AWS Machine Learning Blog

APRIL 29, 2024

In 2024, however, organizations are using large language models (LLMs), which require relatively little focus on NLP, shifting research and development from modeling to the infrastructure needed to support LLM workflows. This often means the method of using a third-party LLM API won’t do for security, control, and scale reasons.

ML 98

ML Python Data Scientist Deep Learning 98

AWS Machine Learning Blog

MARCH 13, 2024

The LLM analysis provides a violation result (Y or N) and explains the rationale behind the model’s decision regarding policy violation. The audio moderation workflow activates the LLM’s policy evaluation only when the toxicity analysis exceeds a set threshold. LLMs, in contrast, offer a high degree of flexibility.

LLM 107

LLM Natural Language Processing Prompt Engineer Prompt Engineering 107

AWS Machine Learning Blog

FEBRUARY 28, 2024

on Amazon Bedrock as our LLM. The multi-step component allows the LLM to correct the generated SQL query for accuracy. We use Athena error messages to enrich our prompt for the LLM for more accurate and effective corrections in the generated SQL. About the Authors Sanjeeb Panda is a Data and ML engineer at Amazon.

Metadata 111

Metadata LLM Generative AI NLP 111

AWS Machine Learning Blog

MAY 13, 2024

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. We also explore the utility of the RAG prompt engineering technique as it applies to the task of summarization.

Generative AI 105

Generative AI Prompt Engineer Prompt Engineering LLM 105

BAIR

MARCH 11, 2024

Currently, I am working on Large Language Model (LLM) based autonomous agents. I have previously worked on sequence models for DNA and RNA, and benchmarks for evaluating the interpretability and fairness of ML models across domains. Specifically, I work on methods that algorithmically generates diverse training environments (i.e.,

Robotics 344

Robotics Natural Language Processing Machine Learning Computer Vision 344

AWS Machine Learning Blog

NOVEMBER 30, 2023

Code Editor is based on Code-OSS , Visual Studio Code Open Source, and provides access to the familiar environment and tools of the popular IDE that machine learning (ML) developers know and love, fully integrated with the broader SageMaker Studio feature set. Choose Open CodeEditor to launch the IDE.

Machine Learning 101

Machine Learning ML LLM Software Engineer 101

AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker Clarify now provides AWS customers with foundation model (FM) evaluations, a set of capabilities designed to evaluate and compare model quality and responsibility metrics for any LLM, in minutes. FMEval helps in measuring evaluation dimensions such as accuracy, robustness, bias, toxicity, and factual knowledge for any LLM.

Large Language Models 87

Large Language Models LLM Algorithm Responsible AI 87

AWS Machine Learning Blog

AUGUST 16, 2023

Thomson Reuters (TR), a global content and technology-driven company, has been using artificial intelligence (AI) and machine learning (ML) in its professional information products for decades. The retrieved best match is then passed as an input to the LLM along with the query to generate the best response.

Large Language Models 75

Large Language Models Machine Learning Generative AI LLM 75

AWS Machine Learning Blog

OCTOBER 4, 2023

In this post, we walk you through deploying a Falcon large language model (LLM) using Amazon SageMaker JumpStart and using the model to summarize long documents with LangChain and Python. SageMaker is a HIPAA-eligible managed service that provides tools that enable data scientists, ML engineers, and business analysts to innovate with ML.

LLM 88

LLM Large Language Models ML Generative AI 88

TheSequence

MARCH 10, 2024

Created Using Ideogram Next Week in The Sequence: Edge 377: The last issue of our series about LLM reasoning covers reinforced fine-tuning(ReFT), a technique pioneered by ByteDance. Join industry leaders from LangChain, Meta, and Visa for insights to master AI and ML in production. 🛠 Real World ML Can I Solve Science?

LLM 52

LLM Chatbots ML Explainability 52

Snorkel AI

OCTOBER 12, 2023

We hope that you will enjoy watching the videos and learning more about the impact of LLMs on the world. Closing Keynote: LLMOps: Making LLM Applications Production-Grade Large language models are fluent text generators, but they struggle at generating factual, correct content.

Data Scientist 64

Data Scientist AI AI ML 64

Snorkel AI

OCTOBER 12, 2023

We hope that you will enjoy watching the videos and learning more about the impact of LLMs on the world. Closing Keynote: LLMOps: Making LLM Applications Production-Grade Large language models are fluent text generators, but they struggle at generating factual, correct content.

Data Scientist 59

Data Scientist AI AI ML 59

Flipboard

JULY 17, 2023

The practical implementation of a Large Language Model (LLM) for a bespoke application is currently difficult for the majority of individuals. It takes a lot of time and expertise to create an LLM that can generate content with high accuracy and speed for specialized domains or, perhaps, to imitate a writing style.

Large Language Models 65

Large Language Models LLM ML Engineer ML 65

AWS Machine Learning Blog

FEBRUARY 29, 2024

Creating scalable and efficient machine learning (ML) pipelines is crucial for streamlining the development, deployment, and management of ML models. Configuration files (YAML and JSON) allow ML practitioners to specify undifferentiated code for orchestrating training pipelines using declarative syntax.

Automation 91

Automation Python Machine Learning ML 91