Chatbots Life

MAY 12, 2023

As everything is explained from scratch but extensively I hope you will find it interesting whether you are NLP Expert or just want to know what all the fuss is about. We will discuss how models such as ChatGPT will affect the work of software engineers and ML engineers. Will ChatGPT replace software engineers?

ChatGPT 90

ChatGPT Software Engineer NLP ML Engineer 90

Towards AI

JANUARY 6, 2025

You may get hands-on experience in Generative AI, automation strategies, digital transformation, prompt engineering, etc. AI engineering professional certificate by IBM AI engineering professional certificate from IBM targets fundamentals of machine learning, deep learning, programming, computer vision, NLP, etc.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence Computer Vision Deep Learning 105

AWS Machine Learning Blog

AUGUST 14, 2023

In this post and accompanying notebook, we demonstrate how to deploy the BloomZ 176B foundation model using the SageMaker Python simplified SDK in Amazon SageMaker JumpStart as an endpoint and use it for various natural language processing (NLP) tasks. Prompts need to be designed based on the specific task and dataset being used.

NLP 82

NLP Prompt Engineer Prompt Engineering Robotics 82

The MLOps Blog

FEBRUARY 15, 2024

Due to the rise of LLMs and the shift towards pre-trained models and prompt engineering, specialists in traditional NLP approaches are particularly at risk. Data scientists and NLP specialists can move towards analytical roles or into engineering to stay relevant. Who are the people most at risk of being laid off?

NLP 59

NLP Natural Language Processing Data Scientist Software Engineer 59

AWS Machine Learning Blog

FEBRUARY 21, 2025

The concept of a compound AI system enables data scientists and ML engineers to design sophisticated generative AI systems consisting of multiple models and components. Yunfei has a PhD in Electronic and Electrical Engineering. His area of research is all things natural language (like NLP, NLU, and NLG).

LLM 79

LLM AI AI Data Scientist 79

deepsense.ai

OCTOBER 30, 2023

Creating a Data Scientist Agent All of the agents that we presented in the previous article were mainly evaluated on pure software engineering tasks such as building simple games or writing web servers with Rest API. Our solution excels in planning due to effective prompt engineering with few-shot examples.

Data Science 116

Data Science LLM Software Engineer Data Scientist 116

AWS Machine Learning Blog

SEPTEMBER 14, 2023

He is passionate about building applications using Generative AI, Amazon Kendra and NLP. He holds a Master’s degree in Software Engineering and IT from Oakland University. He has a prior experience in software development, specifically in building microservices for distributed web applications.

Generative AI 114

Generative AI LLM Large Language Models Software Engineer 114

ODSC - Open Data Science

JANUARY 7, 2025

Theyre looking for people who know all related skills, and have studied computer science and software engineering. As MLOps become more relevant to ML demand for strong software architecture skills will increase aswell. While knowing Python, R, and SQL is expected, youll need to go beyond that.

Data Scientist 40

Data Scientist Data Science Deep Learning Machine Learning 40

ODSC - Open Data Science

FEBRUARY 28, 2024

what techniques can help you raise the quality of the answers , from simple prompt engineering tricks like few-shot prompting, all the way up to finetuning, self-correction loops, and entailment checks. Make sure to attend the talk to learn more about all these techniques and how to apply them to your projects.

LLM 52

LLM Chatbots Data Science Software Engineer 52

Snorkel AI

MARCH 2, 2023

As we look at the progression, we see that these state-of-the-art NLP models are getting larger and larger over time. From a software engineering perspective, machine-learning models, if you look at it in terms of the number of parameters and in terms of size, started out from the transformer models. Three is the adaptation.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

Snorkel AI

MARCH 2, 2023

As we look at the progression, we see that these state-of-the-art NLP models are getting larger and larger over time. From a software engineering perspective, machine-learning models, if you look at it in terms of the number of parameters and in terms of size, started out from the transformer models. Three is the adaptation.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

AWS Machine Learning Blog

APRIL 16, 2024

The advancement of LLMs has significantly impacted natural language processing (NLP)-based SQL generation, allowing for the creation of precise SQL queries from natural language descriptions—a technique referred to as Text-to-SQL. The way you craft a prompt can profoundly influence the nature and usefulness of the AI’s response.

Data Scientist 109

Data Scientist Generative AI Machine Learning ML 109

AWS Machine Learning Blog

OCTOBER 23, 2024

It facilitates the seamless customization of FMs with enterprise-specific data using advanced techniques like prompt engineering and RAG so outputs are relevant and accurate. He focuses on Deep learning including NLP and Computer Vision domains. He helps customers achieve high performance model inference on SageMaker.

Generative AI 75

Generative AI IDP LLM Automation 75

Unite.AI

MARCH 13, 2024

Introduction The field of natural language processing (NLP) and language models has experienced a remarkable transformation in recent years, propelled by the advent of powerful large language models (LLMs) like GPT-4, PaLM, and Llama. models, specifically Codex and InstructGPT, in answering and reasoning about real-world medical questions.

Natural Language Processing 204

Natural Language Processing Large Language Models Data Scarcity LLM 204

Flipboard

DECEMBER 6, 2023

Extractive summarization Extractive summarization is a technique used in NLP and text analysis to create a summary by extracting key sentences. Abstractive summarization Abstractive summarization is a technique used in NLP and text analysis to create a summary that goes beyond mere extraction of sentences or phrases from the source text.

BERT 166

BERT Large Language Models Artificial Intelligence Artificial Intelligence 166

AWS Machine Learning Blog

JUNE 5, 2023

Even though these foundation models are able to generalize well, especially with the help of prompt engineering techniques, often the use case is so domain specific, or the task is so different, that the model needs further customization. BloomZ is a general-purpose natural language processing (NLP) model. Robert Fisher is a Sr.

Large Language Models 91

Large Language Models Machine Learning ML NLP 91

The MLOps Blog

JUNE 5, 2023

One of the hardest things about MLOps today is that a lot of data scientists aren’t native software engineers, but it may be possible to lower the bar to software engineering. Learning software engineering best practices and understanding how ML systems get built and productionized.

Large Language Models 52

Large Language Models Machine Learning Software Engineer Natural Language Processing 52

AWS Machine Learning Blog

DECEMBER 4, 2024

Organizations can select their preferred language models, customize prompts, and manage costs through pay-per-token pricing. For those seeking a fully managed experience, Amazon Kendra Gen AI Index integrates seamlessly with Amazon Q Business, removing the complexity of LLM selection and prompt engineering.

Metadata 93

Metadata Generative AI Data Ingestion Software Engineer 93