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After DeepSeek, Kimi k1.5 Outshines OpenAI o1

Analytics Vidhya

The Chinese AI model is the recent advancements in reinforcement learning (RL) with large language models (LLMs) that have led to the development of Kimi k1.5, a model that promises to reshape the landscape of generative AI reasoning. Outshines OpenAI o1 appeared first on Analytics Vidhya.

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DeepSeek-R1 reasoning models rival OpenAI in performance 

AI News

This additional pre-training step enhances the models reasoning capabilities and resolves many of the limitations noted in DeepSeek-R1-Zero. Notably, DeepSeek-R1 achieves performance comparable to OpenAI’s much-lauded o1 system across mathematics, coding, and general reasoning tasks, cementing its place as a leading competitor.

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Fine-Tuning a Model Using OpenAI Platform for Customer Query Support

Analytics Vidhya

Fine-tuning large language models (LLMs) is essential for optimizing their performance in specific tasks. OpenAI provides a robust framework for fine-tuning GPT models, allowing organizations to tailor AI behavior based on domain-specific requirements.

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Emergent Abilities of Large Language Models

AssemblyAI

In recent years, significant efforts have been put into scaling LMs into Large Language Models (LLMs). In this article, we'll explore the concept of emergence as a whole before exploring it with respect to Large Language Models. What is the cause of these emergent abilities, and what do they mean?

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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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LangChain: Automating Large Language Model (LLM) Evaluation

Analytics Vidhya

Introduction Large Language Models (LLMs) have captivated the world with their ability to generate human-quality text, translate languages, summarize content, and answer complex questions. Prominent examples include OpenAI’s GPT-3.5, Google’s Gemini, Meta’s Llama2, etc.

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New AI training techniques aim to overcome current challenges

AI News

OpenAI and other leading AI companies are developing new training techniques to overcome limitations of current methods. Addressing unexpected delays and complications in the development of larger, more powerful language models, these fresh techniques focus on human-like behaviour to teach algorithms to ‘think.