Marktechpost

DECEMBER 7, 2023

Since then, several studies have tried to address LLM honesty by delving into a model’s internal state to find truthful representations. These treatments are resilient over several dataset splits and prompts. Proposals for recent black box techniques have also been made to identify and provoke massive language model lying.

Large Language Models 120

Large Language Models Prompt Engineer Prompt Engineering Neural Network 120

Towards AI

MAY 1, 2023

TheSequence is a no-BS (meaning no hype, no news etc) ML-oriented newsletter that takes 5 minutes to read. Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 150,000 subscribers. The goal is to keep you up to date with machine learning projects, research papers and concepts.

Prompt Engineer 94

Prompt Engineer Prompt Engineering LLM Large Language Models 94

AWS Machine Learning Blog

MAY 9, 2024

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. An effective approach that addresses a wide range of observed issues is the establishment of an AI/ML center of excellence (CoE). What is an AI/ML CoE?

ML 105

ML Generative AI AI AI 105

Heartbeat

JANUARY 19, 2024

As prompt engineering is fundamentally different from training machine learning models, Comet has released a new SDK tailored for this use case comet-llm. In this article you will learn how to log the YOLOPandas prompts with comet-llm, keep track of the number of tokens used in USD($), and log your metadata.

LLM 52

LLM Metadata Prompt Engineer Prompt Engineering 52

ODSC - Open Data Science

AUGUST 24, 2023

5 Jobs That Will Use Prompt Engineering in 2023 Whether you’re looking for a new career or to enhance your current path, these jobs that use prompt engineering will become desirable in 2023 and beyond. In addition, we’ll discuss a variety of tools that form the modern LLM application development stack.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Data Science Data Scientist 52

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.

Large Language Models 52

Large Language Models LLM Prompt Engineer Prompt Engineering 52

AWS Machine Learning Blog

APRIL 24, 2024

To increase training samples for better learning, we also used another LLM to generate feedback scores. We present the reinforcement learning process and the benchmarking results to demonstrate the LLM performance improvement. They can also provide a better answer to the question or comment on why the LLM response is not satisfactory.

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LLM AI AI Generative AI 108

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 Researcher AI Research Prompt Engineer 98

Marktechpost

DECEMBER 29, 2023

Often, LLMs exhibit inconsistencies and inaccuracies, manifesting as hallucinations in outputs, which impede their applicability in diverse real-world situations. Traditional methods primarily revolve around refining these models through extensive training on large datasets and prompt engineering.

LLM 120

LLM Large Language Models Natural Language Processing Prompt Engineer 120

TheSequence

MARCH 11, 2024

As CTO of Humanloop , Peter has assisted companies such as Duolingo, Gusto, and Vanta in solving LLM evaluation challenges for AI applications with millions of daily users. Today, Peter shares his insights on LLM evaluations. This post is a shortened version of Peter’s original blog, titled 'Evaluating LLM Applications '.

LLM 52

LLM Categorization Software Development Prompt Engineer 52

Unite.AI

OCTOBER 16, 2023

This is where LLMOps steps in, embodying a set of best practices, tools, and processes to ensure the reliable, secure, and efficient operation of LLMs. Custom LLM Training : Developing a LLM from scratch promises an unparalleled accuracy tailored to the task at hand.

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Large Language Models LLM Machine Learning DevOps 189

Marktechpost

AUGUST 4, 2023

In a groundbreaking move, LightOn proudly announced the launch of Alfred-40B-0723, an innovative open-source Language Model (LLM) based on Falcon-40B. At its core, Alfred is a powerful and versatile language model that offers an array of key skills, setting it apart from conventional LLMs.

LLM 98

LLM Generative AI Prompt Engineer Prompt Engineering 98

Heartbeat

FEBRUARY 22, 2024

Getting Started with PandasAI LLMs power PandasAI and support several large language models (LLMs), from OpenAI, Azure OpenAI, and Google PaLM to HuggingFace's Starcoder and Falcon models. We must use OpenAI LLM API Wrapper for this tutorial to power PandasAI's generative AI capabilities.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence LLM OpenAI 52

Snorkel AI

AUGUST 9, 2023

However, as enterprises begin to look beyond proof-of-concept demos and toward deploying LLM-powered applications on business-critical use cases, they’re learning that these models (often appropriately called “ foundation models ”) are truly foundations, rather than the entire house. is currently the state-of-the-art LLM. Handcrafted.

LLM 52

LLM Prompt Engineer Prompt Engineering Artificial Intelligence 52

Snorkel AI

AUGUST 9, 2023

However, as enterprises begin to look beyond proof-of-concept demos and toward deploying LLM-powered applications on business-critical use cases, they’re learning that these models (often appropriately called “ foundation models ”) are truly foundations, rather than the entire house. is currently the state-of-the-art LLM. Handcrafted.

LLM 52

LLM Prompt Engineer Prompt Engineering Artificial Intelligence 52

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

Marktechpost

AUGUST 27, 2023

Artificial Intelligence (AI) has seen a rise in the use of Large Language Models (LLMs). A particular sort of LLM that is based on the Transformer architecture’s decoder-only design has acquired a lot of popularity recently. The Chain-of-Thought (CoT) method expands on prompt engineering.

Large Language Models 98

Large Language Models Machine Learning Prompt Engineer Prompt Engineering 98

Marktechpost

MAY 11, 2024

However, existing LLMs typically falter when tasked with the nuanced understanding and alignment necessary for effective IE. Researchers have traditionally employed strategies such as prompt engineering, which involves providing detailed annotations and guidelines to assist LLMs without altering underlying model parameters.

Large Language Models 109

Large Language Models Prompt Engineer Prompt Engineering Categorization 109

Marktechpost

MARCH 3, 2024

Researchers from Arizona State University, the University of Virginia, ByteDance Research, and the University of Illinois Chicago present a survey on the role of LLMs in Data Annotation. The methodology leveraging LLMs for data annotation extends beyond simple automation. Check out the Paper.

Large Language Models 104

Large Language Models Prompt Engineer Prompt Engineering Machine Learning 104

Marktechpost

JANUARY 4, 2024

In order to get the most out of these models, it is important to ask the right questions, i.e., providing them with optimized prompts, which has led to the emergence of an entirely new field – prompt engineering, which focuses primarily on crafting optimized and task-specific instructions to get better responses.

Large Language Models 107

Large Language Models Prompt Engineer Prompt Engineering LLM 107

AWS Machine Learning Blog

OCTOBER 6, 2023

The personalization of LLM applications can be achieved by incorporating up-to-date user information, which typically involves integrating several components. One such component is a feature store, a tool that stores, shares, and manages features for machine learning (ML) models.

Generative AI 110

Generative AI LLM Natural Language Processing Metadata 110

Towards AI

MARCH 28, 2024

This week, I’m super excited to announce that we are finally releasing our book, ‘Building AI for Production; Enhancing LLM Abilities and Reliability with Fine-Tuning and RAG,’ where we gathered all our learnings. Elymsyr wants to develop new projects to improve their ML, RL, computer vision, and co-working skills.

Large Language Models 75

Large Language Models Prompt Engineer Prompt Engineering AI 75

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

Mlearning.ai

AUGUST 7, 2023

elderly like my mum who don’t even get familiar with usual web/app navigation or what icons they represent) There have been years (pre-LLM era) I believe one day we could move on to natural language as command interface (a.k.a The evaluation is just impression based and being very subjective LLM candidates and interface ChatGPT (gpt-3.5-turbo)

LLM 52

LLM Prompt Engineer Prompt Engineering ChatGPT 52

Marktechpost

OCTOBER 8, 2023

Prompts are essential for improving the performance of LLMs like GPT-3.5 The way that prompts are created can have a big impact on an LLM’s abilities in a variety of areas, including reasoning, multimodal processing, tool use, and more. The task prompts are then subjected to mutations, resulting in variants.

Large Language Models 141

Large Language Models Neural Network LLM Prompt Engineer 141

TheSequence

JUNE 7, 2023

🛠 ML Work Humanloop is one of the emerging platforms in the LLM application development space. Prompt engineering was more art than science. To unlock the potential of LLM applications we need a new set of tools built from first principles. Can you tell us about the vision and inspiration for the project?

LLM 72

LLM Machine Learning Generative AI Prompt Engineer 72

deepsense.ai

JULY 30, 2023

These models offer tremendous potential but also bring a unique set of challenges when it comes to building large-scale ML projects. Naturally, training a machine learning model (regardless of the problem being solved or the particular model architecture that was chosen) is a key part of every ML project. But what happens next?

Large Language Models 76

Large Language Models LLM Machine Learning Automation 76

Marktechpost

SEPTEMBER 14, 2023

DM maintains conversational flow, sends prompts to LLM, and processes responses. Prompt engineering ensures natural responses from LLM. It combines a few shot-learning and prompt-learning techniques to generate context-aware replies. NLU analyzes incoming text, classifies intents, and assesses confidence.

Large Language Models 127

Large Language Models Robotics Natural Language Processing Prompt Engineer 127

AWS Machine Learning Blog

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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Generative AI LLM ML AI 122

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

Mlearning.ai

JULY 24, 2023

In Generative AI projects, there are five distinct stages in the lifecycle, centred around a Large Language Model 1️⃣ Pre-training : This involves building an LLM from scratch. The model generates a completion on the prompt. No training happens during prompt engineering. Billions of parameters are trained.

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering Large Language Models 52

Marktechpost

SEPTEMBER 9, 2023

They eliminated the complex prompt engineering previously required for response extraction by the type-guided output control, which makes defining data format within natural language prompts unnecessary. These templates accept input parameters that perfectly correspond to the parameters of the described function.

Large Language Models 128

Large Language Models Software Development LLM Prompt Engineer 128

ODSC - Open Data Science

SEPTEMBER 20, 2023

Adam Ross Nelson on Confident Data Science In this interview, we talk about what confident data science is, how data scientists can confidently and ethically use AI, and emerging fields like prompt engineering. How to Land a Job After a Data Science Bootcamp You just finished your data science bootcamp, what’s next? Sale ends Thursday!

Generative AI 98

Generative AI Prompt Engineer Prompt Engineering Data Scientist 98

AWS Machine Learning Blog

OCTOBER 31, 2023

With MLSL’s expertise in ML consulting and execution, Schneider Electric was able to develop an AI architecture that would reduce the manual effort in their linking workflows, and deliver faster data access to their downstream analytics teams. Augmenting the LLM with Google search guarantees the most up-to-date information.

LLM 99

LLM Large Language Models ML Machine Learning 99

TheSequence

JULY 16, 2023

Created Using Midjourney Next Week in The Sequence: Edge 309: Our series about foundation model techniques continues with a look at active prompting including an analysis of the original AP paper. Data Agents LlamaIndex introduced Data Agents, a framework for augmenting LLMs with data access capabilities —> Read more.

LLM 98

LLM OpenAI Prompt Engineer Prompt Engineering 98

Unite.AI

DECEMBER 18, 2023

It was also due to the great engineering leadership there that allowed us to move freely and do what we did best: ship quickly. As the CTO & Cofounder of a conversational intelligence company, Pathlight, you are helping build an LLM Ops infrastructure from scratch.

LLM 130

LLM Data Analysis Prompt Engineer Prompt Engineering 130

Explosion

NOVEMBER 28, 2023

Throughout 2023, we have introduced support for Large Language Models (LLMs) through spacy-llm, added customizable task routing, expanded our QA features with inter-annotator agreement metrics, infused more interactivity into the UI, and shared several open-source Prodigy plug-ins with the community. For example, as of v1.14.0

Large Language Models 78

Large Language Models LLM Prompt Engineer Prompt Engineering 78