Indiehacking Sales - $ XX,XXX 🔥
IIT grad 🎓
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• Democratizes advanced AI training
• Enables domain-specific expertise
• Uses minimal training data
• Maintains speed of smaller models
• Cost-effective solutions
• Democratizes advanced AI training
• Enables domain-specific expertise
• Uses minimal training data
• Maintains speed of smaller models
• Cost-effective solutions
Successfully tested in:
• Biochemistry
• AI safety
• Legal
• Finance
• Engineering
• Insurance
Successfully tested in:
• Biochemistry
• AI safety
• Legal
• Finance
• Engineering
• Insurance
• Open to universities, researchers, enterprises
• Focus on complex tasks requiring expert teams
• Already used by Thomson Reuters for legal AI
• Applications open
• Open to universities, researchers, enterprises
• Focus on complex tasks requiring expert teams
• Already used by Thomson Reuters for legal AI
• Applications open
Patient symptoms → Gene prediction
• Input: Medical history + symptoms
• Output: Ranked gene list + reasoning
• Grading: Higher scores for correct genes ranked higher
• Success: Found TSC2 as top candidate
Patient symptoms → Gene prediction
• Input: Medical history + symptoms
• Output: Ranked gene list + reasoning
• Grading: Higher scores for correct genes ranked higher
• Success: Found TSC2 as top candidate
• Upload training data (JSONL format)
• Define grading criteria (0-1 scale)
• Model learns through reinforcement
• Validation on separate dataset
• Performance tracking via dashboard
• Upload training data (JSONL format)
• Define grading criteria (0-1 scale)
• Model learns through reinforcement
• Validation on separate dataset
• Performance tracking via dashboard
O1-mini with RFT outperformed base O1:
• Top@1: 31% vs 25%
• Top@5: 41% vs 38%
• Top@max: 45% vs 38%
All on completely new genes (no overlap in training)
O1-mini with RFT outperformed base O1:
• Top@1: 31% vs 25%
• Top@5: 41% vs 38%
• Top@max: 45% vs 38%
All on completely new genes (no overlap in training)
• Partnered with Berkeley Lab & Charité Hospital
• Model analyzes patient symptoms to identify causative genes
• Addresses 300M+ people globally affected by rare diseases
• Reduces diagnostic time from months/years
• Partnered with Berkeley Lab & Charité Hospital
• Model analyzes patient symptoms to identify causative genes
• Addresses 300M+ people globally affected by rare diseases
• Reduces diagnostic time from months/years
• Uses same RL algorithms that improved O1
• Requires only dozens of examples
• Allows models to learn new reasoning patterns
• Launching publicly in early 2024
• Uses same RL algorithms that improved O1
• Requires only dozens of examples
• Allows models to learn new reasoning patterns
• Launching publicly in early 2024
Follow me to get the latest updates first!
#AI #ArtificialIntelligence #OpenAI #TechUpdates
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#AI #ArtificialIntelligence #OpenAI #TechUpdates
• Enhanced capability for more compute-intensive tasks
• Web browsing
• File uploads
• API access with new features like image understanding
• Enhanced capability for more compute-intensive tasks
• Web browsing
• File uploads
• API access with new features like image understanding
Solved challenging chemistry protein problem:
• Complex multi-criteria analysis
• Correctly identified retinochisen
• Demonstrated deep domain knowledge
• Solved in 53 seconds
Solved challenging chemistry protein problem:
• Complex multi-criteria analysis
• Correctly identified retinochisen
• Demonstrated deep domain knowledge
• Solved in 53 seconds
Solved complex space datacenter cooling problem:
• Analyzed hand-drawn diagram
• Calculated radiator surface area (2.42M sq meters)
• Handled ambiguous parameters intelligently
• State-of-the-art performance on MMMU & MathVista benchmarks
Solved complex space datacenter cooling problem:
• Analyzed hand-drawn diagram
• Calculated radiator surface area (2.42M sq meters)
• Handled ambiguous parameters intelligently
• State-of-the-art performance on MMMU & MathVista benchmarks
Sample history query about Roman emperors:
• o1: 14 seconds
• o1 Preview: 33 seconds
Plus higher accuracy on complex historical details
Sample history query about Roman emperors:
• o1: 14 seconds
• o1 Preview: 33 seconds
Plus higher accuracy on complex historical details
• Unlimited access to models (o1, GPT-4)
• Advanced voice mode
• o1 Pro mode for enhanced performance
• Higher reliability on complex tasks
• Will get additional features during the 12 days
• Unlimited access to models (o1, GPT-4)
• Advanced voice mode
• o1 Pro mode for enhanced performance
• Higher reliability on complex tasks
• Will get additional features during the 12 days
• 34% fewer major mistakes
• 50% faster response times
• New multimodal capabilities (image + text)
• Better instruction following
• Adaptive thinking (fast for simple queries, thorough for complex ones)
• 34% fewer major mistakes
• 50% faster response times
• New multimodal capabilities (image + text)
• Better instruction following
• Adaptive thinking (fast for simple queries, thorough for complex ones)
• Competition Math: 13.4% → 83.3%
• Competition Code: 11% → 89%
• PhD Science Questions: 56.1% → 78%
• Matching/exceeding expert human performance (69.7%)
• Competition Math: 13.4% → 83.3%
• Competition Code: 11% → 89%
• PhD Science Questions: 56.1% → 78%
• Matching/exceeding expert human performance (69.7%)
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#AI #Amazon #IndieHacking
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Once I hit 1,000 followers, I’ll share the Ultimate Marketing Sheet for organic SaaS sales with all my followers. 🛠️
#AI #Amazon #IndieHacking
Amazon plans to:
• Invest billions in AI hardware & models
• Make AI affordable for EVERY business
• Continue shaping the future of AI innovation
This is just the beginning of Amazon’s AI ambitions.
Amazon plans to:
• Invest billions in AI hardware & models
• Make AI affordable for EVERY business
• Continue shaping the future of AI innovation
This is just the beginning of Amazon’s AI ambitions.
Amazon’s approach to AI hallucinations:
• RefChecker: Detects hallucinated outputs.
• Amazon Q: Provides source citations for transparency.
They’re not just building AI—they’re making it trustworthy.
Amazon’s approach to AI hallucinations:
• RefChecker: Detects hallucinated outputs.
• Amazon Q: Provides source citations for transparency.
They’re not just building AI—they’re making it trustworthy.