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Andrej Karpathy Praises DeepSeek V3’s Frontier LLM, Trained on a $6M Budget

Analytics Vidhya

Last year, the DeepSeek LLM made waves with its impressive 67 billion parameters, meticulously trained on an expansive dataset of 2 trillion tokens in English and Chinese comprehension. Setting new benchmarks for research collaboration, DeepSeek ingrained the AI community by open-sourcing both its 7B/67B Base and Chat models.

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Shielding Prompts from LLM Data Leaks

Unite.AI

It proposes a system that can automatically intervene to protect users from submitting personal or sensitive information into a message when they are having a conversation with a Large Language Model (LLM) such as ChatGPT. Remember Me?

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Claude 3.7 Sonnet vs Grok 3: Which LLM is Better at Coding?

Analytics Vidhya

Sonnet LLM, it’s here to shake the world of generative AI even more. Sonnet vs Grok 3: Which LLM is Better at Coding? Since last June, Anthropic has ruled over the coding benchmarks with its Claude 3.5 Today with its latest Claude 3.7 Both […] The post Claude 3.7 appeared first on Analytics Vidhya.

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7 Best LLM Tools To Run Models Locally (January 2025)

Unite.AI

This breakdown will look into some of the tools that enable running LLMs locally, examining their features, strengths, and weaknesses to help you make informed decisions based on your specific needs. AnythingLLM AnythingLLM is an open-source AI application that puts local LLM power right on your desktop.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment. Save your seat today!

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Fine-tuning an LLM to Write Like You on OpenAI Platform vs Google AI Studio

Analytics Vidhya

Fine-tuning large language models (LLMs) is an essential technique for customizing LLMs for specific needs, such as adopting a particular writing style or focusing on a specific domain. OpenAI and Google AI Studio are two major platforms offering tools for this purpose, each with distinct features and workflows.

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Sky-T1: The $450 LLM Challenging GPT-4o & DeepSeek V3

Analytics Vidhya

The AI community was already stunned whenDeepSeek V3launched, delivering GPT-4o-level capabilities at a fraction of the cost. While others spend millions, NovaSky is proving […] The post Sky-T1: The $450 LLM Challenging GPT-4o & DeepSeek V3 appeared first on Analytics Vidhya. Thats not a typo.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation metrics for at-scale production guardrails.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future.

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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Infusing advanced AI features into reports and analytics can set you apart from the competition.