LLM

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TowerLLM, Unbabel’s GenAI for translation, ushers in the next era of machine translation  

2023, AI, Automation & Tech, Artificial Intelligence, Blog, Language, Large Language Model, LLM, Translation Quality

Machine translation (MT) has come a long way. From the early rule-based systems to the advent of neural networks, the field has seen remarkable advancements. For more than a decade, Unbabel has been at the forefront of this evolution, leveraging state-of-the-art technologies like quality estimation (QE) to enhance translation accuracy and fluency.  However, despite all […]

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BNP Paribas introduces AI tool for investment banking

ai, AI Business Strategy, Artificial Intelligence, banking, data centre, enterprise, Finance, Finance AI, Governance, Regulation & Policy, Inside AI, investment, LLM, Natural Language Processing (NLP), Trust, Bias & Fairness, World of Work

BNP Paribas is testing how far AI can be pushed into the day-to-day mechanics of investment banking. According to Financial News, the bank has rolled out an internal tool called IB Portal, designed to help bankers assemble client pitches more quickly and with less repetition. Pitch preparation sits at the centre of investment banking work.

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OpenAI lanserar GPT-5.2 med bättre kontextförståelse

Artificial Intelligence, ChatGPT, LLM

OpenAI gillar inte att Google har lite solsken med nya Gemini 3 så nu har de snickrat ihop en uppdatering till ChatGPT. OpenAI rullar idag ut GPT-5.2 den senaste uppdateringen av sin AI-modell som kommer i tre olika varianter anpassade för olika användningsbehov. Uppdateringen sker som svar på hårdnande konkurrens från Google Gemini 3 och

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Snabbguide till nya DeepSeek-V3.2

Artificial Intelligence, deepseek, LLM, Open Source

DeepSeek har lanserat sin senaste AI-modell DeepSeek V3.2 som introducerar flera betydande förbättringar jämfört med tidigare versioner. Modellen bygger vidare på den experimentella version som släpptes i september och påstås prestera på samma nivå som OpenAI:s GPT-5 i flera resonemangstest. En annan stor nyhet är ”thinking in tool-use”, V3.2 kan nu integrera analytiskt tänkande direkt i verktygsanvändning.

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LLM Benchmarking, Reimagined: Put Human Judgment Back In

Artificial Intelligence, Human-in-the-loop (HITL), Large Language Models, LLM, Shaip Blogs

If you only look at automated scores, most LLMs seem great—until they write something subtly wrong, risky, or off-tone. That’s the gap between what static benchmarks measure and what your users actually need. In this guide, we show how to blend human judgment (HITL) with automation so your LLM benchmarking reflects truthfulness, safety, and domain

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Role of Large Language Models in Powering Multilingual AI Virtual Assistants

Artificial Intelligence, Large Language Models, LLM, Shaip Blogs

Virtual assistants are progressing beyond simple question-and-answer formats to solving complex queries. Today, AI-driven virtual assistants communicate in multiple languages easily, and large language models, or LLMs, power this transformation. Now you can ask your device for restaurant recommendations in English and get an answer in Spanish. That’s what LLMs have made possible in recent

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Building Domain-Specific LLMs: Precision AI for Every Industry

Artificial Intelligence, Large Language Models, LLM, Shaip Blogs

Imagine hiring a new employee. One candidate is a “jack of all trades”—knows a little bit about everything, but not in depth. The other has 10 years of experience in your exact industry. Who do you trust with your critical business decisions? That’s the difference between general-purpose large language models (LLMs) and domain-specific LLMs. While

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Understanding Reasoning in Large Language Models

Artificial Intelligence, Large Language Models, LLM, Shaip Blogs

When most people think of large language models (LLMs), they imagine chatbots that answer questions or write text instantly. But beneath the surface lies a deeper challenge: reasoning. Can these models truly “think,” or are they simply parroting patterns from vast amounts of data? Understanding this distinction is critical — for businesses building AI solutions,

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