Build an AI-powered blogging platform (Next.js, Langchain & CopilotKit) In this article, you will learn how to build an AI-powered blogging platform that can search the web and research any topic for a blog article https://
dev.to/copilotkit/how
-to-build-an-ai-powered-blogging-platform-nextjs-langchain-supabase-1hdp
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GENERATIVE AI
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Building AI-powered blogging platform with Next.js and Langchain
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Llama 3 token vocabulary expansion optimization benefits
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I don't think I've talked about going beyond tokenization? Still seems like a sensible approach to me – Llama 3 upped their token vocabulary from 32,000 to 128,000 which gave them some optimization benefits
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Base Models Predict Individuals, Not Average Humans
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Also, even the current base models are in-principle being trained to predict every individual human on the Internet, not to imitate an average human on the Internet, and performance at that task would not saturate at human-level intelligence. https://
lesswrong.com/posts/nH4c3Q9t
9F3nJ7y8W/gpts-are-predictors-not-imitators
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AI defense spending and surveillance law face limited opposition
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Which makes it odd to see little/no pushback from most of this camp re the AI defense gold rush/NDAA tech allocations, the passage of 702 surveillance abuse into law, etc.
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Llama3 Models Analysis on Hugging Face Repository
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yup it looks like some of them are not llama3. probably more ~500 are llama3 based (everything older than that can't be llama3: https://
huggingface.co/models?p=17&so
rt=modified&search=llama3
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Llama3 Model Variants Proliferate: Fine-Tuning for Specific Use Cases
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Already almost 1,000 llama3 model variations have been shared publicly on HF (many more in private use at companies): https://
huggingface.co/models?sort=cr
eated&search=llama3
…. Everyone should fine-tune their own models for their use-cases, languages, industry, infra constraints,… 10,000 llama3 variants by -
Run Llama 3 Locally Free With GPT4All LMStudio Ollama
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Check out this ace from my friend Shubham showing you 3 ways to run the new #Llama3 from @AIatMeta locally—100% free, completely offline, and private! Via #GPT4All, @LMStudioAI
, or (my personal favorite) @Ollama
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Claude 3 Opus Extracts Structured Data from Images Demo
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Mind-blowing demo of #Claude3 Opus that can now pull structured data straight from images! Most of the LLM implementation is handled by this script from @timpaul
: → https://
github.com/timpaul/form-e
xtractor-prototype/blob/main/data/extract-form-questions.json
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AI Impact on Jobs: Transformation Speed Varies by Sector
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People likely overestimate how fast AI will impact jobs overall in the short-term, but that doesn’t mean that some jobs won’t transform fast. And there is a lot we don’t know about AI and jobs, because it is different than other technologies From my book: https://
a.co/d/amHhYb8 -
System Prompts and Instruction Delimitation in AI Models
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Models have worked like that for over a year now – OpenAI have a similar mechanism, it's part of how their system prompts work The problem is that it's not infallible: even with special reserved tokens to delimit instructions vs data it's still possible for models to lose track