Unite.AI

JANUARY 25, 2024

Prompt Engineering and Security Concerns The landscape of AI and technology is evolving rapidly, and the O'Reilly 2024 Tech Trends Report sheds light on some intriguing new developments, particularly in the realms of prompt engineering and cybersecurity.

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Prompt Engineer Prompt Engineering NLP Generative AI 182

Unite.AI

FEBRUARY 21, 2025

Large Language Models (LLMs) have significantly advanced natural language processing (NLP), excelling at text generation, translation, and summarization tasks. Future Directions: Toward Self-Improving AI The next phase of AI reasoning lies in continuous learning and self-improvement.

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Large Language Models LLM Natural Language Processing NLP 154

Marktechpost

JUNE 24, 2024

The study also identified four essential skills for effectively interacting with and leveraging ChatGPT: prompt engineering, critical evaluation of AI outputs, collaborative interaction with AI, and continuous learning about AI capabilities and limitations.

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ChatGPT Generative AI BERT NLP 113

AWS Machine Learning Blog

FEBRUARY 21, 2025

Fine-tuning a pre-trained large language model (LLM) allows users to customize the model to perform better on domain-specific tasks or align more closely with human preferences. Evaluation and continuous learning The model customization and preference alignment is not a one-time effort.

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LLM AI AI Data Scientist 79

AWS Machine Learning Blog

APRIL 24, 2024

of overall responses) can be addressed by user education and prompt engineering. Additionally, we can address the issue with the solution of LLM fine-tuning and reinforcement learning, described in the next section. We will also further improve the AI feedback quality by tuning the prompt template.

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LLM AI AI Generative AI 128

ODSC - Open Data Science

JANUARY 28, 2025

While traditional roles like data scientists and machine learning engineers remain essential, new positions like large language model (LLM) engineers and prompt engineers have gained traction. Register now for only$299!

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Prompt Engineer Prompt Engineering Data Scientist Machine Learning 40

The MLOps Blog

FEBRUARY 15, 2024

TL;DR In 2023, the tech industry saw waves of layoffs, which will likely continue into 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. Are LLMs entirely overtaking AI and natural language processing (NLP)?

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NLP Natural Language Processing Data Scientist Software Engineer 59

AWS Machine Learning Blog

AUGUST 26, 2024

Our human review process is comprehensive and integrated throughout the development lifecycle of the Account Summaries solution, involving a diverse group of stakeholders: Field sellers and the Account Summaries product team – These personas collaborate from the early stages on prompt engineering, data selection, and source validation.

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Generative AI LLM AI AI 119

Pickl AI

DECEMBER 12, 2024

LAMs utilize a combination of advanced algorithms and large datasets to function effectively. They often build on the foundation of Large Language Models (LLMs) but incorporate additional capabilities that allow them to take actions based on their analyses. How Do LAMs Work?

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Data Analysis Large Language Models Automation Neural Network 52

NVIDIA

DECEMBER 5, 2024

The adoption of generative AI and large language models is rippling through nearly every industry, as incumbents and new entrants reimagine products and services to generate an estimated $1.3 The demand for prompt engineers will extend beyond tech companies to sectors like legal, customer support and publishing.

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Generative AI Robotics AI AI 105

AWS Machine Learning Blog

JUNE 27, 2024

These agents can break down complicated, multi-step tasks into branched solutions, and are capable of evaluating the generated solutions dynamically while continually learning from past experiences. Examples include our Deep Researcher, Deep Coder, and Advisor models. Tengfei Xue is an Applied Scientist at NinjaTech AI.

Software Engineer 117

Software Engineer Large Language Models AI AI 117

ODSC - Open Data Science

NOVEMBER 4, 2024

Introduction — Bridging the Gap Between Prototype and Production Working with AI has never been more approachable than since the advent of aligned, pre-trained Large Language Models (LLMs) like GPT-4, Claude, Mistral, Llama, and many others. If you are happy with Anthropic’s Opus model and the prompt you wrote, great!

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Prompt Engineering Prompt Engineer BERT Large Language Models 52

AWS Machine Learning Blog

NOVEMBER 25, 2024

Large language models – Next, 123RF turned to cutting-edge large language models (LLMs) such as OpenAI GPT-4 and Anthropic’s Claude Sonnet. These models showcased impressive capabilities in understanding context and producing high-quality translations. Content moderation of user-generated images.

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Prompt Engineer Prompt Engineering Metadata Generative AI 93

AWS Machine Learning Blog

DECEMBER 11, 2024

Generating improved instructions for each question-and-answer pair using an automatic prompt engineering technique based on the Auto-Instruct Repository. An instruction refers to a general direction or command given to the model to guide generation of a response. Automatic prompt engineering must use Anthropics Claude v2, v2.1,

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Generative AI Chatbots Prompt Engineering Prompt Engineer 68

ML @ CMU

DECEMBER 2, 2024

ICAL outperforms state-of-the-art models in tasks like instruction following, web navigation, and action forecasting, demonstrating its ability to improve performance without heavy manual prompt engineering. Is Your LiDAR Placement Optimized for 3D Scene Understanding?

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Large Language Models Computer Vision Deep Learning Machine Learning 90