#llmlimitations search results

All this noise about #llmlimitations etc and still not enough takers for the real, analytical stuff behind all this (1/2)

dindjic's tweet image. All this noise about #llmlimitations etc and still not enough takers for the real, analytical stuff behind all this (1/2)

What is the real challenge of #LLMs? Get some initial insight in the quick video below but, to dive deeper, join us on November 9 for a technical masterclass on how LLMs can act in the real world. Save your spot today: | bit.ly/3FGBP48 | #LLMLimitations


5. Use with caution, not blind trust LLMs are incredible tools — but not truth engines.What you say @grok! We must treat their output as suggestions, not facts. Follow for Part 4 soon → “What Makes LLMs So Powerful” #LLMLimitations #ResponsibleAI #GenAI #Thread #letsconnect #ai

iampavankalyank's tweet image. 5. Use with caution, not blind trust
LLMs are incredible tools — but not truth engines.What you say @grok!
We must treat their output as suggestions, not facts.
Follow for Part 4 soon → “What Makes LLMs So Powerful” #LLMLimitations #ResponsibleAI #GenAI #Thread #letsconnect #ai

Myth: LLMs provide verifiable academic citations. Fact: They frequently confabulate *entirely fake* scholarly sources. Always cross-reference! Your research integrity depends on it. 📚💡 #LLMLimitations #AICitations #ResearchAI


AI hallucinations aren't bugs, they're a fundamental limitation of how large language models work. They predict what words should come next based on patterns, not truth. This is why fact checking remains crucial even as models improve. #AI #MachineLearning #LLMlimitations


A small caveat: the model only continues text (no chat format), and I provided the first 5-6 words. The rest is pure #TimeCapsuleLLM generation, making the predictions even more impressive! #LLMlimitations #AIresearch #TextGeneration


📉 CoT is not enough. Even with Chain-of-Thought prompting, LLMs often reason from incomplete or misinterpreted premises, due to how human language is structured. This is the Language-Thought Gap. #CoT #LLMlimitations


"LLMs not scraping docs before generating code? Working on old Spring project, ChatGPT keeps suggesting deprecated methods. I dived into docs & solved it instead #LLMlimitations #DevLife"


7/ 📉💡 While LLMs are incredibly powerful tools for various language tasks, it's essential to be aware of their limitations and not overestimate their capabilities. They're not the silver bullet for all AI challenges. #LLMLimitations #NoSilverBullet


General intelligence is apparently easier for LLMs than knowing where my car keys are. Context and grounding still remain the ultimate challenge in AI. #AIReality #LLMLimitations #PMproblems #ProductManagement #AI


5/8🚧 Understanding the limits of LLMs reveals their true capabilities. They can mimic human language with astonishing accuracy but lack true understanding, empathy, and the ability to create verifiable new knowledge. #LLMLimitations


2/ LLMs have advanced significantly in reasoning abilities, but still face challenges: lack of memory, synchronous operation, hallucinations, no internet access, poor math skills, and inconsistent outputs. 🤖❌ #LLMlimitations


⚠️ Challenges I hit Console log debugging = still manual Re-runs & retries kill momentum No awareness of app architecture Design patterns? Still your job. AI is fast, but not foolproof. #DevLife #AIdebugging #LLMlimitations


Myth: LLMs provide verifiable academic citations. Fact: They frequently confabulate *entirely fake* scholarly sources. Always cross-reference! Your research integrity depends on it. 📚💡 #LLMLimitations #AICitations #ResearchAI


A small caveat: the model only continues text (no chat format), and I provided the first 5-6 words. The rest is pure #TimeCapsuleLLM generation, making the predictions even more impressive! #LLMlimitations #AIresearch #TextGeneration


General intelligence is apparently easier for LLMs than knowing where my car keys are. Context and grounding still remain the ultimate challenge in AI. #AIReality #LLMLimitations #PMproblems #ProductManagement #AI


All this noise about #llmlimitations etc and still not enough takers for the real, analytical stuff behind all this (1/2)

dindjic's tweet image. All this noise about #llmlimitations etc and still not enough takers for the real, analytical stuff behind all this (1/2)

Myth: LLMs can perfectly summarize your epic 100-page report. Reality: Their 'context window' is often like a tiny peephole into your document. They're trying their best with that limited view. It's a challenge, not a failing. 😔📖 #LLMLimitations #ContextWindow


Myth: LLMs "know" facts. Reality: They're next-token prediction engines. Factual hallucinations are an inherent outcome of statistical pattern matching. Always verify. 🤔🔍 #AIexplained #LLMLimitations #GenAI


LLMs Struggle with Long‑form Coherence Multi-agent storytelling pipeline (outline → planner → writer) needed just to create a 1,000+‑word coherent story. LLMs with huge contexts still falter at long-range narrative coherence. 🎯 #LongForm #Storytelling #LLMLimitations


📉 CoT is not enough. Even with Chain-of-Thought prompting, LLMs often reason from incomplete or misinterpreted premises, due to how human language is structured. This is the Language-Thought Gap. #CoT #LLMlimitations


⚠️ Challenges I hit Console log debugging = still manual Re-runs & retries kill momentum No awareness of app architecture Design patterns? Still your job. AI is fast, but not foolproof. #DevLife #AIdebugging #LLMlimitations


"LLMs not scraping docs before generating code? Working on old Spring project, ChatGPT keeps suggesting deprecated methods. I dived into docs & solved it instead #LLMlimitations #DevLife"


AI hallucinations aren't bugs, they're a fundamental limitation of how large language models work. They predict what words should come next based on patterns, not truth. This is why fact checking remains crucial even as models improve. #AI #MachineLearning #LLMlimitations


大規模言語モデルは医療専門家に比べて医学的精度が劣っていることが研究で明らかに - #LLMlimitations #ClinicalAIstudy #HealthcareAI #AIintegration prompthub.info/29160/


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All this noise about #llmlimitations etc and still not enough takers for the real, analytical stuff behind all this (1/2)

dindjic's tweet image. All this noise about #llmlimitations etc and still not enough takers for the real, analytical stuff behind all this (1/2)

5. Use with caution, not blind trust LLMs are incredible tools — but not truth engines.What you say @grok! We must treat their output as suggestions, not facts. Follow for Part 4 soon → “What Makes LLMs So Powerful” #LLMLimitations #ResponsibleAI #GenAI #Thread #letsconnect #ai

iampavankalyank's tweet image. 5. Use with caution, not blind trust
LLMs are incredible tools — but not truth engines.What you say @grok!
We must treat their output as suggestions, not facts.
Follow for Part 4 soon → “What Makes LLMs So Powerful” #LLMLimitations #ResponsibleAI #GenAI #Thread #letsconnect #ai

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