कोशिश गोल्ड - मुक्त
AI Databases: Ensuring the Quality of LLMs in Chatbots
Open Source For You
|July 2024
Digital transformation initiatives and the need for 24/7 customer support have been instrumental in propelling the adoption of Al chatbots. But these bots need authentic and well-developed large language models LLMs) to work efficiently. LLMs, in turn, are dependent on Al databases that are built on data that is consistent, complete and accurate. There are quite a few open source and free Al databases to choose from.
-
By leveraging advancements in natural language processing (NLP) and machine learning, artificial intelligence (AI) chatbots have revolutionised the way businesses interact with customers, offering a seamless, automated interface for a multitude of tasks. These sophisticated conversational agents are now pivotal in numerous sectors, ranging from customer service and e-commerce to healthcare and banking, significantly enhancing user engagement and operational efficiency.
In 2022, the global market for AI chatbots was appraised at approximately US$ 0.84 billion. Forecasts for the coming decade suggest a remarkable expansion. By 2032, the AI chatbot market is anticipated to burgeon to around US$ 4.9 billion. This projection reflects a compound annual growth rate (CAGR) of 19.29% between 2023 and 2032. Such robust growth can be attributed to several factors, including technological advancements in AI and machine learning, increased smartphone penetration, and a growing preference for automated customer interaction solutions.
The sophistication of AI chatbots continues to evolve, with modern iterations capable of understanding and processing complex queries, delivering personalised responses, and learning from interactions to improve future performance. As these intelligent systems become more advanced and pervasive, their impact on global business operations is poised to become increasingly profound, marking a significant shift in the landscape of digital customer service and engagement.
Key AI chatbots for multiple applications
The landscape of artificial intelligence chatbots is richly populated with sophisticated entities designed to cater to a multitude of applications, each bringing unique capabilities to the fore.
यह कहानी Open Source For You के July 2024 संस्करण से ली गई है।
हजारों चुनिंदा प्रीमियम कहानियों और 10,000 से अधिक पत्रिकाओं और समाचार पत्रों तक पहुंचने के लिए मैगज़्टर गोल्ड की सदस्यता लें।
क्या आप पहले से ही ग्राहक हैं? साइन इन करें
Open Source For You से और कहानियाँ
Open Source For You
The Role of Open Source in Building Modern Data Infrastructure
It's no secret that open source is emerging as the backbone of modern data infrastructure. Here’s a list of the core open source technologies used to deploy this infrastructure, along with some real-world examples and a brief on why open source matters.
3 mins
December 2025
Open Source For You
The Whispering Machines: How Open Source is Bringing Intelligence to the Tiniest Devices
Built on open source frameworks, TinyML is enabling complex machine learning models to run on the microcontrollers embedded in connected devices, bringing artificial intelligence to the very edge of the network.
3 mins
December 2025
Open Source For You
Setting Up Snort to Secure Your Network
Snort is a popular, open source intrusion detection system that monitors traffic in real time to detect malware. Here’s a detailed explanation of how to set it up on Ubuntu and test it by generating traffic from another system.
7 mins
December 2025
Open Source For You
When AI Meets DevOps to Build Self-Healing Systems
Traditional DevOps, with its rule-based automation, is struggling to work effectively in today’s complex tech world. But when combined with AlOps, it can lead to IT systems that predict failures and solve issues without human intervention.
7 mins
December 2025
Open Source For You
How to Automate Java Code Modernisation
This short guide illustrates that automating Java code modernisation with Python and OpenAI API is not just possible-it's remarkably effective.
5 mins
December 2025
Open Source For You
The Quest to Build a Quantum Computer
The road to large-scale quantum computing is long and hard, with incremental advances paving the way. But the destination is in sight.
12 mins
December 2025
Open Source For You
Job Opportunities: What's Hot in the Cloud Space?
If there's one field that refuses to slow down, it's cloud computing. Even as automation and AI reshape roles, cloud adoption continues to surge. From startups deploying microservices overnight to enterprises migrating decades of legacy systems, cloud remains the engine of digital transformation. For professionals, this means one thing: skills that live in the cloud won't come down anytime soon.
2 mins
December 2025
Open Source For You
Securing Client Identity with Post-Quantum Cryptography
Here's a quick tutorial on how to build a secure, real world client-server model that establishes client identity by using CRYSTALS-Dilithium, a post-quantum cryptography algorithm.
3 mins
December 2025
Open Source For You
Unlocking the Power of Multi-Agent Solutions with the Microsoft Agentic Framework
The Microsoft Agentic Framework is rapidly emerging as a cornerstone for developers, architects, and technology leaders seeking to build dynamic, intelligent systems powered by multiple collaborating agents. In an era where automation, distributed intelligence, and adaptive software are increasingly vital, this framework offers robust tools and features to accelerate the design and deployment of agent-based solutions.
6 mins
December 2025
Open Source For You
Apache Iceberg and Trino: Powering Data Lakehouse Architecture
Apache Iceberg is a cornerstone of any open data lakehouse, providing the transactional foundation upon which highly scalable and flexible analytics can flourish. Along with Trino, it can be used to build a robust, scalable, and high-performance data lakehouse.
4 mins
December 2025
Listen
Translate
Change font size
