Tag: LLMs
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ChatGPT Rules Out: The Clash Between Hard and Soft Restrictions in AI Systems
The development and implementation of restrictions in artificial intelligence systems, especially those that employ natural language processing (NLP), have sparked widespread debate among developers and users alike. The recent revelation of ChatGPT’s secret rules has added fuel to this ongoing conversation. The primary bone of contention seems to revolve around whether these restrictions should be…
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Generative AI’s Role in Revolutionizing Circuit Board Design: A Deep Dive
Generative AI is at the forefront of what can be described as a technological renaissance. From generating creative writing to designing intricate circuit boards, the transformative power of AI seems boundless. One of the emerging applications of AI is in the field of circuit board design, specifically employing large language models (LLMs) and other generative…
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Unleashing the Power of Structured Output from Language Models: An In-Depth Look at Techniques and Tools
As the quest for structured output from language models (LLMs) intensifies, developers are increasingly facing a myriad of challenges and opportunities. Structured data output – such as JSON and XML – appears to be indispensable for numerous applications, including data parsing, integration, and machine-to-machine communication. But how can developers extract this structured data effectively from…
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Unveiling the Power of GPT-4o: A Deep Dive into Long Context Understanding
The recent strides made by GPT-4o in enhancing attention across its input window have sparked a wave of excitement within the AI community. Users highlight the substantial improvement in contextual understanding compared to previous models, such as GPT-4 Turbo and Claude-3 Sonnet. The ability to parse vast amounts of information and provide accurate responses signifies…
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Exploring the Complex Interaction Between LLMs, Probabilities, and Human Intuition
The profound challenge that Large Language Models (LLMs) like GPT-3 or GPT-4 face in accurately managing probabilistic tasks and generating random numbers is not merely a technical limitation but also a reflection of the data on which they are trained. Humans, notorious for their poor intuitions regarding probability and randomness, create and annotate the datasets…
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Umetna inteligenca v pravni stroki: Pomočnik ali nadomestek?
Razvoj tehnologije je vedno spremljalo vprašanje, kako bo vplivala na obstoječe poklice. Jezikovni modeli, kot so LLMs (Large Language Models), ki so oblikovani za razumevanje in generiranje človeškega jezika, vstopajo v pravno polje z obljubo, da bodo poenostavili in avtomatizirali določene procese. Vendar pa je pravna stroka specifična, saj zahteva ne le obsežno znanje zakonov,…
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As Limitações Inerentes dos Modelos de Linguagem de Grande Escala
Com a evolução rápida da inteligência artificial, particularmente no que se refere aos modelos de linguagem de grande escala (LLMs) como o GPT-3 e o GPT-4, surgem questões persistentes sobre os limites de tais tecnologias. Apesar de suas habilidades notáveis em tarefas de processamento de linguagem, é crucial reconhecer as barreiras fundamentais que esses modelos…
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Os Limites Insuperáveis dos Modelos de Linguagem de Grande Escala
Os Modelos de Linguagem de Grande Escala (LLMs), como o famoso GPT-4, estão constantemente evoluindo. À medida que crescem em tamanho e complexidade, suas aplicações parecem cada vez mais vastas e impressionantes. Contudo, uma pergunta que intriga tanto desenvolvedores quanto usuários é: existe algo que LLMs nunca poderão fazer? O debate não é apenas técnico,…