Mukunda Johnson
@2024specs
AI Engineer. Sharing the latest in new tech advantages. No marketing posts.
Be wary of OpenAI's tactics. Test their new model on unsolved problems, not known problems. It's known that AI vendors are training on many prewritten solutions from paid labor. OpenAI states it is "a new training dataset specifically tailored for it" openai.com/index/introduc…
Other studies have shown that models will be okay if they retain the older data set within their training. I'd say that "model collapse" would appear more like bias, not nonsense. theregister.com/2024/07/25/ai_…
Be wary of AI benchmarks. AI vendors are paying people to fine tune their models to target common benchmarks and make their product more appealing. I personally got an offer on Upwork to solve programming problems for AI. It's not real-world work.
And if you want to run hosted versions of the Llama 3.1 family, our friends at Fireworks AI have got you covered:
🚀 Exciting news! Fireworks AI is one of the first platforms to offer Llama 3.1 for production use from day one in partnership with @AIatMeta. With expanded context length, multilingual support, and the powerful Llama 3.1 405B model, developers can now leverage unmatched AI…
Meta released Llama 3.1 and suggests it is competitive with GPT4, 4o, and Claude 3.5 Sonnet. ai.meta.com/blog/meta-llam…
Before reading an article, scroll to the bottom and look for a section titled "Conclusion". If you see that, don't read it. People are trashing the internet with output from AI for a quick buck, and that will hurt AI's future. Don't give attention to these careless people.
This is a curious figure for this demograph reuters.com/technology/art…
60% cheaper than GPT-3.5 Turbo reuters.com/technology/art…
LLMs are a "generalization of everything". A major caveat to this is that they can't be clever, and there are many parallels between different topics that it will incidentally align. theguardian.com/technology/art…
A software engineer's discipline is all about achieving correctness. It's hard to picture a future where this mentally intense discipline is done automatically by technology that, by principle, has correctness problems. qit.software/will-software-…
Today's functionality is hinging on unethical data harvesting. wired.com/story/youtube-…
An interesting approach, using a special medium to transfer large amounts of data into an LLM more efficiently thestack.technology/microsoft-llm-…
thestack.technology
Microsoft unveils a large language model that excels at encoding spreadsheets
New LLM has the "potential to transform data management and analysis, paving the way for more intelligent and efficient user interactions."
Analysts were split over whether today’s AI investments would pay off in the next decade. cointelegraph.com/news/ai-artifi…
Unfortunately there is no regulation of content pollution. Everyone wants "in" and it's going to contribute to potential model collapse. pymnts.com/artificial-int…
The profitable use is obvious: information discovery. Use AI to find things. Let your customers find things on their own, just the same as your employees. There are other uses, but this easy value should be in every business by now. news.slashdot.org/story/24/07/11…
How to get vendor locked to AWS services in the worst way imaginable. techcrunch.com/2024/07/10/aws…
techcrunch.com
AWS App Studio promises to generate enterprise apps from a written prompt | TechCrunch
AWS released App Studio today in preview, which lets you create enterprise from a written prompt using generative AI.
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