The Future of AI is Here – OpenAI’s Major Announcements! Day 1 My Post on @LinkedIn https://
linkedin.com/posts/haroldsi
nnott_openai-chatgpt-innovation-activity-7270593899230814208-VKZ2?utm_source=share&utm_medium=member_desktop
… #IoT #CES2025 #MWC25 #AI @OpenAI #ChatGPT #Shipmas @OpenAINewsroom @SpirosMargaris @JimHarris @KirkDBorne @JimMarous @pierrepinna
RESEARCH
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OpenAI’s Major Announcements: The Future of AI is Here
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IHME Call to Action: Health Research and Data Analysis
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The call to action, by @IHME_UW https://
thelancet.com/journals/lance
t/article/PIIS0140-6736(24)02372-9/fulltext
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US Life Expectancy Decline Demands Healthcare Innovation Investment
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Forecast of US life expectancy to 2050 vs >200 countries
Declining rank from current low of ~50.
—"alarming trajectory of health challenges in the USA"
—need to invest in "scientific innovation, health-care access, preventive health care, risk exposure reduction, and education." -
LLM comparison: which models solved the contrived problem?
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Contrived problem, I know, but: ChatGPT 4o, o1-mini, and Claude 3.5 Sonnet all get this wrong — 0 out of 3 each ChatGPT o1 gets it right 3 out of 3
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SmallCon 2024: Fine-tuning SLMs and Real-world AI Use Cases
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Last chance to sign up for #SmallCon (Dec 11)! Hear from leaders at @nubank
, Harvey AI, @rungalileo
, @DoorDash
, & @Convirza on: When to fine-tune #SLMs Real-world use cases Avoiding production pitfalls Register now: https://
pbase.ai/4ij1EZT -
Shaking Sensor Enables Real-Time Inflammation Biomarker Monitoring
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Quite an innovation!
Continuous real-time monitoring of inflammation and protein biomarkers in the body with a shaking sensor https://
science.org/doi/10.1126/sc
ience.adn2600https://www.science.org/doi/10.1126/science.adt8928
… @ScienceMagazine @HZargartalebi @NorthwesternU @czbiohub -
Best Foundation Models for Agent Orchestration
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Which Foundation Model is best for Agent Orchestration [Agents] https://
bit.ly/4gfe96R
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
@kirkdborne — 2024-12-05
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It's #CyberWeek! Get 70% OFF #ODSCEast conference passes + 6 months access to AI+ Training Platform 7+ Live Courses
300+ On-Demand Sessions
AI Mini-Bootcamp
3 Days Hands-On Training Don't miss out! ENDS SOON! https://
bit.ly/4eXUlnq @_odsc #ODSC #AI #ML #DataScience -
Parameter Optimization in Large Language Models
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Got it… Still, if the rule is you have to have <=124M parameters active per token, where did you save those 9216?
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Model Design Trade-offs: Parameter Count and Efficiency Rules
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Love the idea, fascinating design! But wait, it's almost 3.5x the number of extra active parameters? Doesn't that violate rule 2?