How do LLMs improve over time?

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Answer

LLMs improve over time through continuous training and updates with new data. As more diverse and comprehensive datasets become available, LLMs can refine their understanding of language patterns, reducing biases and enhancing accuracy. Advances in model architectures and training techniques also contribute to performance improvements. Regular fine-tuning for specific applications ensures that LLMs remain relevant and effective, adapting to evolving language trends and user needs.

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My name is Andrei Daniel P. and I have over 10 years of experience in the tech industry. I specialize in the following technologies: API Development, Custom PHP, Laravel, Application Performance Monitoring Software, New Relic, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Reggio Emilia real estate portal for listings valuations, and ads, Italian site for fast access to local government services and payments, Production ready Docker Compose stack for Laravel with Traefik, Monitoring and Observability setup and maintenance for Saas project, Monitoring and Observability setup and maintenance for Saas project, etc.. I am based in Rio Saliceto, Italy. I've successfully completed 15 projects while developing at Softaims.

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Rishi Raj B., Lead Software Engineer - AI, Automation and LLM Platforms at Softaims

Rishi Raj B.

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My name is Rishi Raj B. and I have over 13 years of experience in the tech industry. I specialize in the following technologies: AI Agent Development, AI Development, AI Platform, LLM Prompt, n8n, etc.. I hold a degree in , Master of Computer Applications (MCA), Bachelor's degree. Some of the notable projects I've worked on include: AI-driven Customer Support Agents (Voice/Chat), HealthCare (FHIR) System - Infrastructure Setup, Automation using IaC, Securing Web Application via VPC, Firewalls, Subnets, ACLs, Automation of SAML Authentication for AWS/GCP via Okta using IaC, SAML-SSO Authentication System using Cognito/Okta/Pulumi, etc.. I am based in Agra, India. I've successfully completed 18 projects while developing at Softaims. I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise. I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful. I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.

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Lucio Ricardo M., Lead Backend Engineer - Python, LLM and API Integration at Softaims

Lucio Ricardo M.

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Josh Khovick F., Software Engineer - Frontend, Cloud and AI Platforms at Softaims

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Matthias G., Software Engineer - AI, Cloud and Data Science Platforms at Softaims

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Akshay V., Software Engineer - AI, Web and General Development at Softaims

Akshay V.

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Mritunjay M., Senior Backend Engineer - AI, Cloud and Data Science Platforms at Softaims

Mritunjay M.

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Etawah
Mritunjay M. | SoftaimsMember Since 2019
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Denis N., Senior Backend Engineer - AI, Python and Natural Language Processing at Softaims

Denis N.

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