-
Dec 9, 2024 | 
dzone.com | Usama Jamil
Large language models (LLMs) (opens new window)have transformed the natural language processing (NLP) (new window)domain by generating human-like text, answering complex questions, and analyzing large amounts of information with impressive accuracy. Their ability to process diverse queries and produce detailed responses makes them invaluable across many fields, from customer service to medical research.
-
Oct 4, 2024 | 
dzone.com | Usama Jamil
In the ever-evolving landscape of artificial intelligence, the quest for more intelligent, responsive, and context-aware chatbots has led us to the doorstep of a new era. Welcome to the world of RAG —Retrieval-Augmented Generation (RAG)(opens a new window, a groundbreaking approach that combines the vast knowledge of retrieval systems with the creative prowess of generative models. RAG technology allows chatbots to handle any type of user query effectively by accessing a knowledge base.
-
Aug 29, 2024 | 
dzone.com | Usama Jamil
Retrieval-Augmented Generation (RAG) (opens new window)systems have been designed to improve the response quality of a large language model (LLM). When a user submits a query, the RAG system extracts relevant information from a vector database and passes it to the LLM as context. The LLM then uses this context to generate a response for the user.
-
Aug 20, 2024 | 
dzone.com | Usama Jamil
Basic Retrieval-Augmented Generation (RAG) (opens new window)data pipelines often rely on hard-coded steps, following a predefined path every time they run. There is no real-time decision-making in these systems, and they do not dynamically adjust actions based on input data. This limitation can reduce flexibility and responsiveness in complex or changing environments, highlighting a major weakness in traditional RAG systems.
-
Jul 11, 2024 | 
codeproject.com | Darryl Taft |Richard MacManus |Usama Jamil |Steven Vaughan-Nichols
Python Meets JavaScript, Wasm With the Magic of PythonMonkeyFeatured image via Distributive. PythonMonkey, an innovative JavaScript runtime embedded within Python, is bridging the gap between two of the world’s most popular programming languages. PythonMonkey is a JavaScript runtime living inside of Python, built on top of Mozilla‘s SpiderMonkey engine. Developers can use it as a Python library for running JavaScript code in Python.
-
Jul 10, 2024 | 
thenewstack.io | Usama Jamil |Siddarth Jain |Patrick McFadin |Alex Williams
The development of scalable and optimized AI applications using large language models (LLMs) is still in its growing stages. Building applications based on LLMs is complex and time-consuming due to the extensive manual work involved, such as writing prompts. Prompt writing is the most important part of any LLM application as it helps us to extract the best possible results from the model.
-
Jul 5, 2024 | 
thenewstack.io | Usama Jamil |Siddarth Jain |Patrick McFadin |Alex Williams
Develop a Cloud-Hosted RAG App With an Open Source LLMsponsor-myscale,sponsored-post-contributed, Featured image by Andrew George on Unsplash. Retrieval-augmented generation (RAG) is often used to develop customized AI applications, including chatbots, recommendation systems and other personalized tools. This system uses the strength of vector databases and large language models (LLMs) to provide high-quality results.
-
Jul 3, 2024 | 
thenewstack.io | Darryl Taft |Richard MacManus |Usama Jamil |Steven Vaughan-Nichols
rust_core version 1.0.0 has been released. According to the r/dartlang subreddit, rust_core is an implementation of Rust‘s core library in Dart. By making adjustments to Rust’s features to align with Dart’s principles, the goal of the implementation is to create a seamless and natural integration between the two languages. This enables developers to use advanced tools that were once exclusive to Rust developers, allowing for a smooth transition between the languages.
-
Jul 3, 2024 | 
thenewstack.io | Vidya Shankaran |Richard MacManus |Usama Jamil |Steven Vaughan-Nichols
One of the most essential parts of the AI adoption cycle is often the most overlooked: ensuring the technology provides value to the business. The current AI frenzy is turning even the most risk-averse companies into digital vanguards set on taking advantage of powerful new applications as quickly as possible.
-
Jul 3, 2024 | 
thenewstack.io | Bruce Gain |BC Gain |Richard MacManus |Usama Jamil
NEW YORK — Having to be on call at night or on the weekends if necessary has been one of the major pain points of IT for decades. Evolving from previously page-only alerts and having to act on those, Datadog is looking at adding more functionality to your telephone. Through its On-Call service available in beta, instead of just getting an alert through a pager service like PagerDuty, you’re getting a call, a text or another alert on your smartphone.
