AWS Machine Learning Blog

MAY 31, 2024

It’s built on causal decoder-only architecture, making it powerful for auto-regressive tasks. Falcon 2 11B is a raw, pre-trained model, which can be a foundation for more specialized tasks, and also allows you to fine-tune the model for specific use cases such as summarization, text generation, chatbots, and more.

Python 112

Python Machine Learning Auto-classification ML 112

AWS Machine Learning Blog

MAY 2, 2024

Unlike traditional model tasks such as classification, which can be neatly benchmarked on test datasets, assessing the quality of a sprawling conversational agent is highly subjective. If a chatbot powered by an LLM produces a response, the reward model can then score the chatbot’s responses.

LLM 104

LLM Auto-complete Auto-classification Artificial Intelligence 104

Defined.ai blog

SEPTEMBER 21, 2023

Example 3: Speech Recognition and Chatbots Voice assistants like Siri or Google Assistant are prime Natural Language Processing examples. Similarly, when you interact with a customer support chatbot, NLP helps it comprehend and address your concerns. Let’s explore how NLP is revolutionizing the corporate world. Absolutely!

Natural Language Processing 52

Natural Language Processing NLP Auto-classification Data Mining 52

AWS Machine Learning Blog

JUNE 12, 2023

It can support a wide variety of use cases, including text classification, token classification, text generation, question and answering, entity extraction, summarization, sentiment analysis, and many more. GPT-J is an open-source 6-billion-parameter model released by Eleuther AI. 24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge, 24xlarge.

Deep Learning 75

Deep Learning Auto-classification Computer Vision Machine Learning 75

Bugra Akyildiz

OCTOBER 21, 2023

We use QLoRA to finetune more than 1,000 models, providing a detailed analysis of instruction following and chatbot performance across 8 instruction datasets, multiple model types (LLaMA, T5), and model scales that would be infeasible to run with regular finetuning (e.g. 33B and 65B parameter models).

Auto-classification 52

Auto-classification Large Language Models LLM Auto-complete 52

The MLOps Blog

MARCH 23, 2023

These models have achieved various groundbreaking results in many NLP tasks like question-answering, summarization, language translation, classification, paraphrasing, et cetera. This is especially true when the model is used for real-time applications, such as chatbots or virtual assistants. Consider ChatGPT as an example.

NLP 115

NLP LLM Large Language Models Natural Language Processing 115

The MLOps Blog

MARCH 12, 2024

In applications like customer support chatbots, content generation, and complex task performance, prompt engineering techniques ensure LLMs understand the specific task at hand and respond accurately. Example: Prompt engineering for a chatbot Let’s imagine we’re developing a chatbot for customer service.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Large Language Models LLM 52

John Snow Labs

JUNE 27, 2023

Instead of navigating complex menus or waiting on hold, they can engage in a conversation with a chatbot powered by an LLM. It is trained on large-scale datasets containing examples of various NLP tasks, including text classification, summarization, translation, question-answering, and more.

Large Language Models 52

Large Language Models BERT Natural Language Processing NLP 52

AWS Machine Learning Blog

JANUARY 9, 2023

For example, an image classification use case may use three different models to perform the task. The scatter-gather pattern allows you to combine results from inferences run on three different models and pick the most probable classification model. These endpoints are fully managed and support auto scaling.

ML 84

ML Auto-complete Auto-classification Deep Learning 84

AWS Machine Learning Blog

NOVEMBER 1, 2023

The system is further refined with DistilBERT , optimizing our dialogue-guided multi-class classification process. Additionally, you benefit from advanced features like auto scaling of inference endpoints, enhanced security, and built-in model monitoring. To mitigate the effects of the mistakes, the diversity of demonstrations matter.

Auto-classification 109

Auto-classification LLM Auto-complete Generative AI 109

Marktechpost

JULY 15, 2023

Conversational AI refers to technology like a virtual agent or a chatbot that use large amounts of data and natural language processing to mimic human interactions and recognize speech and text. It is a chatbot that has been trained by fine-tuning the LLaMa model on conversations shared by users and collected from ShareGPT.

Conversational AI 98

Conversational AI AI Modeling Large Language Models Auto-classification 98

Topbots

JUNE 29, 2023

It not only requires SQL mastery on the part of the annotator, but also more time per example than more general linguistic tasks such as sentiment analysis and text classification. 4] In the open-source camp, initial attempts at solving the Text2SQL puzzle were focussed on auto-encoding models such as BERT, which excel at NLU tasks.[5,

Algorithm 52

Algorithm Auto-complete Data Scientist Auto-classification 52