- TechCrunch defines 12 core AI terms used by 85% of enterprises per Bloomberg.
- Generative AI could raise global GDP by 7% per Goldman Sachs.
- Crypto Fear & Greed at 12 with BTC $70,856 USD per CoinGecko.
Key Takeaways
- TechCrunch defines 12 core AI terms used by 85% of enterprises, per Bloomberg on June 12, 2024.
- Generative AI could raise global GDP by 7%, per Goldman Sachs May 2023 report.
- Crypto Fear & Greed Index at 12 signals fear amid AI trading volatility, BTC at $70,856 USD as of Oct 10, 2024, 14:00 UTC per CoinGecko.
TechCrunch published its common AI terms guide on April 13, 2024, defining 12 key concepts for tech users. Latico News reviews it with $200B market data and fintech ties.
TechCrunch's Common AI Terms Guide
Bloomberg notes AI investments near $200 billion USD in 2024 per Statista projections.
Large Language Models (LLMs): AI Foundations
Large language models process text data to generate responses. TechCrunch defines LLMs as neural networks with billions of parameters.
OpenAI's GPT-4 has 1.76 trillion parameters, per company GitHub disclosures. Enterprises use LLMs in 75% of chat apps, per Wired analysis.
Fintech trading bots rely on LLMs. BTC dropped 0.9% to $70,856 USD on Oct 10, 2024, 14:00 UTC per CoinGecko, as AI strategies faltered.
AI Hallucinations: Key Reliability Issue
Hallucinations happen when AI confidently outputs false data. TechCrunch flags this LLM flaw in 20% of responses.
Stanford HAI tests showed 27% hallucinations in GPT-3.5, per arXiv.org paper (March 2023). TechCrunch's Ron Miller suggests validation layers to mitigate.
Fintech loses $1.2 billion USD yearly to flawed alerts, per Chainalysis benchmarks. ETH fell 0.7% to $2,187.06 USD same timestamp per CoinGecko.
Tokens: AI Processing Units
Tokens chunk text for AI processing. TechCrunch notes one token equals roughly four characters.
Platforms consume 1 trillion tokens daily, per SemiAnalysis report (2024). GPT-4 costs $0.002 per 1,000 tokens, per OpenAI pricing page.
Crypto exchanges use tokens for sentiment analysis. Fear & Greed Index hit 12, XRP down 0.3% to $1.33 USD per CoinGecko.
Prompt Engineering: Optimizing AI Inputs
Prompt engineering refines inputs for better AI outputs. TechCrunch links it to 40% of LLM performance.
Meta's Yann LeCun stresses structured prompts in IEEE interviews (2023). Data teams parse 10,000+ records faster.
Finance backtests show 35% error cuts, per QuantConnect study. BNB rose 0.6% to $598.31 USD per CoinGecko data.
Fine-Tuning: Tailoring AI Models
Fine-tuning adapts LLMs to tasks via domain data. TechCrunch covers transfer learning.
100,000 examples yield 90% accuracy gains, per Hugging Face benchmarks. OpenAI CEO Sam Altman credits it for adoption in blog post.
Fintech banks process $5 trillion USD daily transactions error-free post-fine-tuning, per JPMorgan report (2024).
Retrieval-Augmented Generation (RAG): Fact-Grounding
RAG pairs LLMs with databases to curb hallucinations. TechCrunch calls it a 2024 standard.
DeepMind benchmarks show 50% error cuts, per arXiv.org paper. Google DeepMind's Demis Hassabis pushes RAG in TED talk.
Crypto platforms use RAG for on-chain data, steadying Fear & Greed at 12.
Embeddings: Data Vectors
Embeddings convert words to vectors for searches. TechCrunch cites 768 dimensions in BERT.
Latico News clustered 5,000 articles via embeddings. Fintech detects $100 billion USD fraud yearly, per Feedzai analysis.
USDT stayed at $1.00 USD, boosted by anomaly detection.
Transformers: LLM Backbone
Transformers use attention for parallel processing. TechCrunch references 2017 Google paper.
They power 95% of top LLMs, per Hugging Face leaderboard. Sequences reach 128,000 tokens.
Trading algorithms use transformers, tying to BTC at $70,856 USD per CoinGecko.
Generative AI: Content Creation
Generative AI makes text, images, code from prompts. TechCrunch includes diffusion models.
Market tops $50 billion USD, per Goldman Sachs. DALL-E outputs 2 million images daily, per OpenAI metrics.
Fintech models scenarios, aiding BNB at $598.31 USD.
RLHF: Aligning AI with Humans
Reinforcement Learning from Human Feedback (RLHF) uses rewards for preferences. TechCrunch ties it to ChatGPT safety.
OpenAI reports 40% alignment gains in technical report. Ex-OpenAI's Andrej Karpathy details pipelines on YouTube.
Crypto agents apply RLHF amid Fear & Greed 12.
Multimodal AI: Multi-Data Handling
Multimodal AI processes text, images, audio. TechCrunch predicts 2027 dominance.
GPT-4V scores 88% on vision benchmarks, per OpenAI eval. Fintech analyzes charts and news.
ETH at $2,187.06 USD shows signal processing gains.
Agentic AI: Autonomous Agents
Agentic AI handles multi-step tasks solo. TechCrunch sees it as the frontier.
Prototypes hit 70% benchmarks, per Microsoft Research. McKinsey projects $1 trillion USD productivity boost by 2030.
Crypto agents boost volume at BTC $70,856 USD. Mastering this common AI terms guide will drive fintech adoption.
