By @muadalsharif.bsky.social
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Which of these companies do you find most promising? 👇
#Investing #Nasdaq2024 #GrowthStocks
Which of these companies do you find most promising? 👇
#Investing #Nasdaq2024 #GrowthStocks
+832% 🐶
A pet tech company that soared thanks to booming demand for smart pet products and viral marketing in Asian e-commerce markets.
#PetTech #Ecommerce
+832% 🐶
A pet tech company that soared thanks to booming demand for smart pet products and viral marketing in Asian e-commerce markets.
#PetTech #Ecommerce
+1,001% 🌊
Pioneering wave energy tech, WAVE gained attention after launching a commercial plant and signing agreements in Europe and the Middle East.
#GreenEnergy #CleanTech
+1,001% 🌊
Pioneering wave energy tech, WAVE gained attention after launching a commercial plant and signing agreements in Europe and the Middle East.
#GreenEnergy #CleanTech
+1,074% 🛩️
They manufacture military-grade drones. Their growth soared due to rising defense contracts and global tensions boosting drone demand.
#DefenseTech #Drones
+1,074% 🛩️
They manufacture military-grade drones. Their growth soared due to rising defense contracts and global tensions boosting drone demand.
#DefenseTech #Drones
+1,092% 🧠
Big jump driven by increasing attention to quantum technologies. QUBT unveiled a software-hardware ecosystem for quantum AI, attracting institutional investors.
#QuantumComputing #AI
+1,092% 🧠
Big jump driven by increasing attention to quantum technologies. QUBT unveiled a software-hardware ecosystem for quantum AI, attracting institutional investors.
#QuantumComputing #AI
+1,152% 💸
This digital banking app rebounded strongly after a turnaround strategy and new revenue streams like earned wage access and AI-driven budgeting tools.
#NeoBanking #Fintech
+1,152% 💸
This digital banking app rebounded strongly after a turnaround strategy and new revenue streams like earned wage access and AI-driven budgeting tools.
#NeoBanking #Fintech
+1,513% 🧬
A small-cap biotech working on cancer therapeutics. A sudden spike followed after positive Phase II trial results for its lead drug targeting aggressive cancers.
#CancerResearch #BiotechStocks
+1,513% 🧬
A small-cap biotech working on cancer therapeutics. A sudden spike followed after positive Phase II trial results for its lead drug targeting aggressive cancers.
#CancerResearch #BiotechStocks
+1,867% 🏋️♂️
A fitness tech company that merged hardware with AI training apps. Growth exploded due to demand for home wellness tech and global expansion into Asian markets.
#FitnessTech #AI
+1,867% 🏋️♂️
A fitness tech company that merged hardware with AI training apps. Growth exploded due to demand for home wellness tech and global expansion into Asian markets.
#FitnessTech #AI
+2,505% 💊
This biotech firm focuses on psychedelic-based treatments for mental health. Huge investor confidence followed promising clinical trials and potential FDA fast-tracking.
#Biotech #MentalHealth
+2,505% 💊
This biotech firm focuses on psychedelic-based treatments for mental health. Huge investor confidence followed promising clinical trials and potential FDA fast-tracking.
#Biotech #MentalHealth
+2,881% 📈
A leader in genomic testing. The surge came after breakthroughs in AI-powered diagnostics and partnerships with major healthcare providers, revolutionizing early disease detection.
#Genomics #AIinHealthcare
+2,881% 📈
A leader in genomic testing. The surge came after breakthroughs in AI-powered diagnostics and partnerships with major healthcare providers, revolutionizing early disease detection.
#Genomics #AIinHealthcare
9️⃣ Eco Wave Power (WAVE): +1,001%
🔟 Dogness Corp (DOGZ): +832%
💡 Innovations in AI, biotech, and clean energy were major drivers behind these impressive gains.
9️⃣ Eco Wave Power (WAVE): +1,001%
🔟 Dogness Corp (DOGZ): +832%
💡 Innovations in AI, biotech, and clean energy were major drivers behind these impressive gains.
Selection Criteria: Models were chosen based on performance in benchmarks (e.g., reasoning, coding, multimodal tasks), accessibility, and impact as reported in industry sources and X posts. Multimodal capabilities, context window size, and real-world applicability were key factors.
Selection Criteria: Models were chosen based on performance in benchmarks (e.g., reasoning, coding, multimodal tasks), accessibility, and impact as reported in industry sources and X posts. Multimodal capabilities, context window size, and real-world applicability were key factors.
Strengths: Lightweight, optimized for real-time tasks like chatbots and on-device AI. High accuracy with low computational needs.
Use Cases: Mobile apps, real-time AI assistants, voice-driven interactions.
Strengths: Lightweight, optimized for real-time tasks like chatbots and on-device AI. High accuracy with low computational needs.
Use Cases: Mobile apps, real-time AI assistants, voice-driven interactions.
Strengths: Specialized reasoning model optimized for STEM tasks (coding, math, science). Scores 96% on MedQA benchmark for medical questions.
Use Cases: Scientific research, educational tools, complex problem-solving.
Strengths: Specialized reasoning model optimized for STEM tasks (coding, math, science). Scores 96% on MedQA benchmark for medical questions.
Use Cases: Scientific research, educational tools, complex problem-solving.
Strengths: Open-source, versatile model excelling in math, instruction-following, and language tasks. Highly customizable for specific applications.
Use Cases: Local inference, privacy-focused applications, research.
Strengths: Open-source, versatile model excelling in math, instruction-following, and language tasks. Highly customizable for specific applications.
Use Cases: Local inference, privacy-focused applications, research.
Strengths: Multimodal capabilities with superior reasoning and integration across Google’s ecosystem. Excels in coding and general knowledge tasks.
Use Cases: Cross-platform AI applications, creative content generation, research.
Strengths: Multimodal capabilities with superior reasoning and integration across Google’s ecosystem. Excels in coding and general knowledge tasks.
Use Cases: Cross-platform AI applications, creative content generation, research.
Strengths: Open-source model excelling in coding, math, and reasoning. Cost-efficient, trained for $6 million compared to GPT-4’s $100 million.
Use Cases: Budget-conscious development, academic research, mathematical problem-solving.
Strengths: Open-source model excelling in coding, math, and reasoning. Cost-efficient, trained for $6 million compared to GPT-4’s $100 million.
Use Cases: Budget-conscious development, academic research, mathematical problem-solving.
Strengths: Advanced reasoning, real-time data access via X integration, and multimodal capabilities (text, image generation via Aurora). Features “Think” and “DeepSearch” modes.
Use Cases: Real-time research, coding, science, conversational AI.
Strengths: Advanced reasoning, real-time data access via X integration, and multimodal capabilities (text, image generation via Aurora). Features “Think” and “DeepSearch” modes.
Use Cases: Real-time research, coding, science, conversational AI.
Strengths: Hybrid reasoning model with strong coding, writing, and logical reasoning. Features a “scratchpad” mode for transparent thought processes and ethical AI focus.
Use Cases: Programming, research, long-form content creation.
Strengths: Hybrid reasoning model with strong coding, writing, and logical reasoning. Features a “scratchpad” mode for transparent thought processes and ethical AI focus.
Use Cases: Programming, research, long-form content creation.