LM-Kit.NET
LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents.
Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development.
Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.
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Jobma
Jobma is a virtual interviewing platform trusted by companies globally. It offers a range of virtual interviewing tools, including pre-recorded one-way video interviewing, live video interviewing, automated interview scheduling, coding assessments for technical hiring, and more.
Its AI-powered features, such as automated scoring, proctoring, and transcriptions, are designed to prevent unconscious bias in hiring and save employers time.
Other features offered by Jobma are:
- Integrates with the most popular ATS+CRM natively and 5,000+ apps using Zapier.
- Support is available via live chat, email, and phone.
- SOC 2 Type II certified, GDPR and CCPA compliant, ensuring the highest level of security and privacy for its users’ data.
- Works across all devices – Desktop and mobile browser support and iOS and Android apps for employers and candidates.
- Accessibility features for candidates with special needs.
Jobma is available in 16 languages and is used by 3,000+ customers in more than 50 countries.
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Clojure
Clojure stands out as a practical, efficient, and versatile programming language that boasts a collection of features that create a unified, powerful toolkit. This dynamic, general-purpose language integrates the user-friendliness and interactive nature of scripting languages while providing a solid framework for multithreaded programming. Although Clojure is a compiled language, it maintains full dynamism, allowing all of its features to be accessible at runtime. It also facilitates seamless integration with Java frameworks, incorporating optional type hints and type inference to optimize Java calls by bypassing reflection. As a dialect of Lisp, Clojure embraces the code-as-data philosophy and offers a robust macro system. Primarily a functional programming language, it presents an extensive array of immutable, persistent data structures. For scenarios requiring mutable state, Clojure introduces a software transactional memory system and a reactive Agent system, making it a well-rounded choice for various programming needs. Additionally, the language's emphasis on concurrency and simplicity enhances its appeal to developers looking for efficient solutions.
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BASIC
BASIC, which stands for Beginners' All-purpose Symbolic Instruction Code, represents a collection of high-level programming languages that prioritize user-friendliness. In its early days, BASIC primarily focused on facilitating simple mathematical computations, initially incorporating batch processing for matrix arithmetic and later expanding to include character string capabilities by 1965. The introduction of BASIC was a key part of the broader transition to time-sharing computing systems. Certain variants of BASIC featured support for matrices and related operations, enabling users to tackle systems of simultaneous linear equations effectively. These variants allowed for various matrix operations, including assignment, addition, multiplication (for compatible types), and determinant evaluation. However, as the 1990s approached, BASIC's popularity waned due to the emergence of more powerful microcomputers and the rising adoption of programming languages like Pascal and C, which offered more sophisticated features suitable for modern computing demands. Consequently, the shift towards these advanced languages marked a significant turning point in the programming landscape during that era.
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