NLP & LLMs — The Latent DailyLanguage models and natural language processing.https://thelatentdaily.com/en-usHow transformers work, explained without the mathhttps://thelatentdaily.com/articles/how-transformers-work-explained/https://thelatentdaily.com/articles/how-transformers-work-explained/The transformer architecture behind ChatGPT, Claude and Gemini, explained step by step: tokens, embeddings, attention and why it changed AI in 2017.Sun, 18 Oct 2026 05:44:00 GMTExplainersexplainertransformerattentionllmsdario_admin@resolvia-crm.techChain-of-thought prompting: getting better answers by asking for the reasoninghttps://thelatentdaily.com/guides/chain-of-thought-prompting-explained/https://thelatentdaily.com/guides/chain-of-thought-prompting-explained/Why asking a model to reason step by step improves math and logic answers, how reasoning models changed the technique, and when it is not worth the extra tokens.Sun, 18 Oct 2026 05:41:00 GMTPrompt Engineeringpromptingreasoningchain-of-thoughtdario_admin@resolvia-crm.techDoes AI "understand"? Common questions about language models answeredhttps://thelatentdaily.com/articles/does-ai-understand-common-questions-answered/https://thelatentdaily.com/articles/does-ai-understand-common-questions-answered/Do chatbots think, remember, learn from you or have opinions? Clear answers to the questions people ask most often about how AI language models work.Sun, 18 Oct 2026 05:31:00 GMTFAQ & Mythsfaqllmsbeginnersdario_admin@resolvia-crm.techScaling laws explained: why bigger language models kept getting betterhttps://thelatentdaily.com/research/scaling-laws-for-neural-language-models-explained/https://thelatentdaily.com/research/scaling-laws-for-neural-language-models-explained/The 2020 OpenAI paper by Kaplan and colleagues showed that model loss falls predictably with size, data and compute. What it found, why it mattered and its limits.Sun, 18 Oct 2026 05:25:00 GMTResearch Papersresearchscalingllmscomputedario_admin@resolvia-crm.techMMLU explained: the exam that measured AI knowledge across 57 subjectshttps://thelatentdaily.com/research/mmlu-benchmark-paper-explained/https://thelatentdaily.com/research/mmlu-benchmark-paper-explained/How the 2020 MMLU benchmark tested language models on law, medicine, math and more, why it became the standard for years, and why newer tests replaced it.Sun, 18 Oct 2026 05:23:00 GMTBenchmarks & Leaderboardsbenchmarksmmluevaluationresearchdario_admin@resolvia-crm.techInstructGPT explained: how human feedback turned language models into assistantshttps://thelatentdaily.com/research/instructgpt-rlhf-paper-explained/https://thelatentdaily.com/research/instructgpt-rlhf-paper-explained/The 2022 InstructGPT paper showed that reinforcement learning from human feedback makes models more helpful and less harmful. The method, the results and the trade-offs.Sun, 18 Oct 2026 05:20:00 GMTNLP & LLMsresearchrlhfalignmentllmsdario_admin@resolvia-crm.techChinchilla explained: why AI models needed more data, not just more parametershttps://thelatentdaily.com/research/chinchilla-compute-optimal-training-explained/https://thelatentdaily.com/research/chinchilla-compute-optimal-training-explained/DeepMind's 2022 Chinchilla paper found that most large language models were undertrained. The 20-tokens-per-parameter rule, its impact and why labs now go beyond it.Sun, 18 Oct 2026 05:19:00 GMTNLP & LLMsresearchscalingchinchillatraining-datadario_admin@resolvia-crm.techPPO explained: the reinforcement learning algorithm behind RLHFhttps://thelatentdaily.com/research/ppo-proximal-policy-optimization-explained/https://thelatentdaily.com/research/ppo-proximal-policy-optimization-explained/Proximal Policy Optimization made policy-gradient training simpler and more stable by limiting how far each update can move. How it works and why it is everywhere.Sun, 18 Oct 2026 05:13:00 GMTReinforcement Learningresearchreinforcement-learningpporlhfdario_admin@resolvia-crm.tech"Sparks of AGI" explained: what Microsoft claimed about GPT-4, and the critiqueshttps://thelatentdaily.com/research/sparks-of-agi-gpt-4-paper-explained/https://thelatentdaily.com/research/sparks-of-agi-gpt-4-paper-explained/Microsoft researchers argued that GPT-4 showed early signs of general intelligence. What they tested, why critics objected and what it teaches about AGI claims.Sun, 18 Oct 2026 05:11:00 GMTAGI & Frontierresearchagigpt-4evaluationdario_admin@resolvia-crm.techFineWeb and Common Crawl explained: how web data becomes training datahttps://thelatentdaily.com/research/fineweb-common-crawl-training-data-explained/https://thelatentdaily.com/research/fineweb-common-crawl-training-data-explained/Most language models learn from filtered web crawls. How Common Crawl works, how FineWeb cleaned 15 trillion tokens, and why filtering choices shape model quality.Sun, 18 Oct 2026 05:08:00 GMTDatasetsresearchdatasetstraining-datahugging-facedario_admin@resolvia-crm.techThe AI language divide: why many languages are left behindhttps://thelatentdaily.com/articles/ai-and-the-language-divide/https://thelatentdaily.com/articles/ai-and-the-language-divide/Most AI is built for English and a few major languages. Why low-resource languages lag, what that means for billions of people, and the efforts to close the gap.Sun, 18 Oct 2026 04:10:00 GMTAccessibility & Inclusioninclusionlanguagesnlpmultilingualdario_admin@resolvia-crm.tech