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ChatGPT Programming Tutorials & Engineering Articles
57 ChatGPT tutorials, guides, and engineering insights from NVIDIA, OpenAI, and ClickHouse
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ChatGPT Articles & Tutorials
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Arvind KC has been appointed as the Chief People Officer at OpenAI, where he will focus on enhancing the company's growth and adaptation in the evolving landscape of AI.
OpenAI
2 min read
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The article introduces Frontier Alliances, a partnership between OpenAI and leading consulting firms like Boston Consulting Group, McKinsey & Company, Accenture, and Capgemini.
OpenAI
5 min read
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The article discusses OpenAI's initial proof submissions for the First Proof math challenge, which evaluates AI's ability to generate checkable proofs for complex mathematical problems.
The article discusses OpenAI's commitment of $7.
OpenAI Team
4 min read
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OpenAI has launched a nationwide initiative called OpenAI for India, aimed at expanding access to AI and unlocking its economic and societal benefits in India.
OpenAI Team
3 min read
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The article discusses the release of GABRIEL, an open-source toolkit designed to help researchers transform qualitative data into quantitative measurements.
The article introduces Lockdown Mode and Elevated Risk labels in ChatGPT to enhance security against prompt injection attacks.
The article introduces Markdown for Agents, a feature by Cloudflare that allows AI systems to request web content in Markdown format instead of HTML.
The article introduces GPT-5. 3-Codex-Spark, an ultra-fast model designed for real-time coding in Codex.
OpenAI announces the beginning of ad testing in ChatGPT for U. S. users on the Free and Go subscription tiers.
OpenAI announces the deployment of a custom ChatGPT product on GenAI. mil, the Department of Defense's secure enterprise AI platform used by 3 million civilian and military personnel.
OpenAI
3 min read
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OpenAI outlines its approach to AI localization through the OpenAI for Countries initiative, explaining how frontier AI models can be adapted for local contexts while maintaining global safety stan...
OpenAI
4 min read
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This article details the transformation of ClickHouse's internal data warehouse from a traditional BI-first approach to an AI-first model, significantly enhancing user accessibility to analytics.
This article discusses the process of scaling LangGraph agents in production, specifically focusing on the deployment of an AI-Q research agent.
The article discusses the importance of LLM observability using ClickStack, OpenTelemetry, and MCP, highlighting how to instrument LibreChat for enhanced insights into AI-driven applications.
The article discusses the integration of NVIDIA BlueField-3 Data Processing Units (DPUs) with F5 BIG-IP Next for Kubernetes to enhance the deployment of agentic AI applications in cloud environment...
Shai Tsur
6 min read
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The article explores the analysis of Wimbledon tennis data using ClickHouse, detailing the unique scoring system of tennis and how to implement a function to compute points needed to win a game.
The article discusses the integration of ClickHouse with the Model Context Protocol (MCP), highlighting its benefits for connecting third-party services to large language models (LLMs).
Al Brown & Mark Needham
8 min read
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The article discusses the NVIDIA AI Blueprint for an LLM router, which provides a cost-efficient framework for dynamically routing prompts to the most suitable large language models (LLMs).
Arun Raman
7 min read
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The article discusses the transformation of traditional data centers into AI factories, driven by the increasing computational demands of AI workflows.
Harry Petty
2 min read
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The article discusses how integrating large language models (LLMs) with knowledge graphs enhances the extraction of structured insights from unstructured data, addressing challenges faced by tradit...
The article discusses LinkedIn's commitment to connecting its members to economic opportunities through advanced AI technologies.
Mohak Shroff
7 min read
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The article discusses the transformation of telecom networks to effectively manage and optimize AI workloads, particularly in the context of 5G technology and the rise of large language models (LLM...
Elad Blatt
7 min read
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The article discusses the use of a generative AI-enabled OpenUSD pipeline to produce cinematic content at scale, specifically for commercials.
Jamie Allan
6 min read
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The article discusses the development of a new reward model, Llama 3.
Zhilin Wang
3 min read
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NVIDIA has introduced its first on-device small language model (SLM) aimed at enhancing game character interactions, showcased in the game Mecha BREAK.
The article discusses the launch of Continuum AI by Edgeless Systems, a generative AI framework that ensures data privacy through confidential computing and NVIDIA H100 GPUs.
Laura Martinez
6 min read
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The article introduces DoRA, a high-performing alternative to Low-Rank Adaptation (LoRA) for fine-tuning pretrained models.
Min-Hung Chen
5 min read
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NVIDIA's announcement at GDC 2024 highlights advancements in generative AI for digital human technologies and the introduction of AI-powered NVIDIA RTX lighting.
Ike Nnoli
4 min read
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NVIDIA NIM is a set of optimized cloud-native microservices designed to facilitate the deployment of AI models at scale, addressing the complexities of AI model development and integration into ent...
Amanda Saunders
6 min read
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This article details the process of building a chatbot named 'HackBot' that utilizes data from Hacker News and Stack Overflow, leveraging ClickHouse and LlamaIndex.
AngularChatGPTjQueryJSONLangChainLessLlamaIndexMySQLOpenAI APIPythonReactSQLSQLAlchemyStreamlitVue.js
Dale McDiarmid
25 min read
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The article discusses how enterprises can build enterprise-grade AI applications using NVIDIA AI Software, focusing on the importance of optimized software for various stages of AI development.
Nirmal Kumar Juluru
5 min read
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The article discusses how NVIDIA is enhancing the performance of large language model (LLM) applications on Windows PCs equipped with NVIDIA RTX systems.
Annamalai Chockalingam
5 min read
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The article reviews the most popular NVIDIA Technical Blog posts of 2023, highlighting advancements in generative AI, large language models (LLMs), high-performance computing (HPC), and robotics.
Michelle Horton
4 min read
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The article introduces the NVIDIA GH200 NVL32, a groundbreaking superchip designed for large language models (LLMs), recommender systems, and graph neural networks (GNNs).
Harry Petty
8 min read
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Dell Technologies and NVIDIA have collaborated to set new records in financial risk calculations using the NVIDIA H100 system for high-performance computing (HPC) and AI.
This article discusses the development of a Retrieval-Augmented Generation (RAG) pipeline for Google Analytics using ClickHouse and Amazon Bedrock.
Dale McDiarmid
30 min read
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The article discusses the evolution of machine learning operations (MLOps) into specialized areas such as GenAIOps and LLMOps, focusing on the development and management of generative AI and large ...
Nik Spirin
13 min read
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The article discusses the application of Large Language Models (LLMs) in enterprise solutions, highlighting their capabilities in enhancing productivity across various industries.
ChatGPTEmbeddingGenerative AIGoogle CloudGPTLarge Language ModelsMistralRetrieval Augmented GenerationRLHFStable Diffusion
Erik Pounds
13 min read
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The article discusses the evolution of data centers in response to the growing demand for AI-driven computing, emphasizing the critical role of networking.
Brian Sparks
6 min read
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This article explores how to integrate ClickHouse with OpenAI models using User Defined Functions (UDFs) to enhance SQL workloads with AI capabilities.
Dale McDiarmid
18 min read
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The article discusses the significance of vector search in AI, particularly in large language models and generative AI.
The article discusses NVIDIA NeMo, an end-to-end platform designed to facilitate the development and deployment of enterprise-ready large language models (LLMs).
The article discusses the technology stack and infrastructure behind ChatGPT, highlighting the collaboration between NVIDIA, Microsoft Azure, and OpenAI.
The article discusses the launch of Supermicro's liquid-cooled AI development platform, designed to facilitate the rapid deployment of AI workloads.
This article introduces the concept of vector search using ClickHouse, exploring the significance of vectors and embeddings in enhancing search capabilities.
BERTChatGPTCLIPElasticsearchEmbeddingHugging FaceLarge Language ModelsSQLSupabaseTransformerTransformers
Dale McDiarmid
16 min read
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The article discusses the NVIDIA Spectrum-X networking platform, designed to enhance the performance of AI workloads by addressing the limitations of traditional Ethernet networks.
Peter Rizk
8 min read
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The article discusses how generative AI is transforming the role of network administrators by enhancing automation, security, and network optimization.
Amit Katz
6 min read
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QHack 2023 showcased the intersection of quantum computing and machine learning, featuring 2,850 participants from 105 countries competing to develop innovative solutions using NVIDIA's quantum tec...
Tom Lubowe
8 min read
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The article discusses how to efficiently scale large language model (LLM) training across a large GPU cluster using the open-source frameworks Alpa and Ray.
Jiao Dong
14 min read
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