Classifying and Sorting Emails using LLM: A Guide to the GPT
WEBOct 24, 2023 · By integrating the GPT-4 API into an n8n workflow, we can harness the ability of LLM (Large Language Models) to classify and sort emails intelligently. Here's a step-by-step guide: 1. Setting...
Train LlaMA-2 LLM on your own emails, Part 2. Model Training
WEBAug 28, 2023 · Train a LlaMA-2 LLM for free to be an email autocomplete assistant using your own email data! Part 1. Introduction and Data Preparation
How I Trained a Large Language Model (LLM) to Write My Cold Emails …
WEBJan 9, 2024 · Discover the future of cold emailing with AI. This in-depth guide reveals how Large Language Models (LLMs) significantly boost open and click-through rates, transforming your email strategy.
Train a LlaMA-2 LLM for free to be an email autocomplete …
WEBAug 25, 2023 · Overview. This project has two main components. First, we will create a dataset of emails, where a single item of data contains a message from another author, and my email reply to that email. Second, we will fine-tune the 7B parameter LlaMA-2-Chat model on this dataset.
What is an LLM? A Guide on Large Language Models and How
WEBDec 22, 2023 · LLMs are AI systems used to model and process human language. They are called “large” because these types of models are normally made of hundreds of millions or even billions of parameters that define the model's behavior, which are pre-trained using a massive corpus of text data.
What are LLMs, and how are they used in generative AI?
WEBFeb 7, 2024 · If you need to boil down an email or chat thread into a concise summary, a chatbot such as OpenAI’s ChatGPT or Google’s Bard can do that.
The Next Frontier of Email Efficiency with LLMs
WEBDec 12, 2023 · This article highlights email efficiency with LLMs’ pivotal role in revolutionizing email response generation and sorting. As our digital communication landscape evolves, the need for efficient, context-aware, and personalized responses to emails has become increasingly critical.
Enhancing LLM collaboration for smarter, more efficient solutions
WEB3 days ago · Co-LLM gave more accurate replies than fine-tuned simple LLMs and untuned specialized models working independently. Co-LLM can guide two models that were trained differently to work together, whereas other effective LLM collaboration approaches, such as “Proxy Tuning,” need all of their component models to be trained similarly. Additionally ...
LLM Prompting: How to Prompt LLMs for Best Results
WEBAug 15, 2024 · An LLM prompt is a simple input or query you provide to a large language model. The response depends on the quality of your inputs (prompts). The most common LLM prompt types include: Questions. Responses. Statements. Detailed instructions. Here is an example of a prompt:
Improving LLM Reasoning with Multi-Agent Tree-of-Thought …
WEB2 days ago · Fatemeh Haji, Mazal Bethany, Maryam Tabar, Jason Chiang, Anthony Rios, Peyman Najafirad. View a PDF of the paper titled Improving LLM Reasoning with Multi-Agent Tree-of-Thought Validator Agent, by Fatemeh Haji and 5 other authors. Multi-agent strategies have emerged as a promising approach to enhance the reasoning abilities of Large Language ...
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