TEYE_ADEdimeji retweetledi
TEYE_ADEdimeji
121 posts

TEYE_ADEdimeji
@JamesLinky
LIFE, LIVE IT| Data Scientist and ML enthusiast
Nigeria Katılım Mayıs 2020
42 Takip Edilen20 Takipçiler
TEYE_ADEdimeji retweetledi
TEYE_ADEdimeji retweetledi

Teams Leads:
Damola Adams - DSN OAU Lead
Zainab Tairu - DSN OAU Lead
Joy Abioye - DSN OAU Lead
@oladele_py - Competition Lead
@Phoenix669941 - Data Analyst Lead
@ireo_tan - Data Analyst Lead
@JamesLinky - Deep Learning Lead
@stmarkadebayo - Deep Learning Lead
English
TEYE_ADEdimeji retweetledi
TEYE_ADEdimeji retweetledi

Everyone is ambitious, wait till placement/intern season starts
Sam ☕@samirande_
How it feels to be surrounded by people with zero ambition in college :
English
TEYE_ADEdimeji retweetledi

The Complete LLM & Generative AI Tech Stack
Foundation Models & Core Technologies
├── Large Language Models
│ ├── OpenAI: GPT-4, GPT-4o
│ ├── Anthropic: Claude 3
│ ├── Meta: Llama 2, Llama 3
│ └── Google: Gemini, PaLM 2
├── Open Source Alternatives
│ ├── Mistral AI models
│ ├── Falcon, Vicuna
│ ├── CodeLlama, StarCoder
│ └── Custom fine-tuned models
└── Model Architectures
├── Transformer-based
├── Attention mechanisms
├── Encoder-decoder models
└── Auto-regressive models
Development Frameworks & SDKs
├── Python Libraries
│ ├── LangChain, LlamaIndex
│ ├── Transformers
│ ├── PyTorch, TensorFlow
│ └── JAX, Flax
├── API Integration
│ ├── OpenAI Python SDK
│ ├── Anthropic API
│ ├── Google AI Python SDK
│ └── REST API wrappers
└── Development Tools
├── Jupyter Notebooks
├── VS Code with AI extensions
├── Google Colab, Kaggle
└── Weights & Biases
Prompt Engineering & Optimization
├── Prompt Design Patterns
│ ├── Zero-shot, Few-shot learning
│ ├── Chain-of-Thought
│ ├── ReAct
│ └── Self-consistency, Tree of Thoughts
├── Prompt Management
│ ├── Prompt templates
│ ├── Version control for prompts
│ ├── A/B testing frameworks
│ └── Prompt optimization tools
└── Advanced Techniques
├── Function calling
├── Tool use & planning
├── Memory management
└── Multi-modal prompting
RAG & Knowledge Enhancement
├── Retrieval-Augmented Generation
│ ├── Vector databases
│ ├── Document loaders & parsers
│ ├── Embedding models
│ └── Hybrid search systems
├── Vector Databases
│ ├── Pinecone, Weaviate
│ ├── Chroma, Qdrant
│ ├── Milvus, Vespa
│ └── PostgreSQL with pgvector
└── Data Processing
├── Text chunking strategies
├── Embedding generation
├── Semantic search
└── Knowledge graph integration
Application Patterns & Architectures
├── Common Patterns
│ ├── AI Agents
│ ├── Conversational AI
│ ├── Content generation systems
│ └── Code generation
├── System Design
│ ├── Chat interfaces
│ ├── Streaming responses
│ ├── Caching strategies
│ └── Rate limiting
└── Integration Patterns
├── API gateways for AI services
├── Middleware for LLM call
└── Circuit breakers
Model Management & Deployment
├── Model Serving
│ ├── Hugging Face Inference Endpoints
│ ├── AWS SageMaker, Google Vertex AI
│ ├── Azure Machine Learning
│ └── Custom model servers
├── Fine-tuning
│ ├── LoRA,
│ ├── Parameter-efficient fine-tuning
│ ├── RLHF
│ └── Custom training pipelines
└── Optimization
├── Quantization
├── Pruning
├── Model compression
└── Hardware acceleration
Monitoring & Evaluation
├── Performance Metrics
│ ├── Latency
│ ├── Cost per request tracking
│ ├── Token usage analytics
│ └── Quality metrics
├── LLM-specific Monitoring
└── Evaluation Frameworks
Security & Responsible AI
├── Safety Measures
│ ├── Content moderation
│ └── Ethical guidelines
├── Privacy
│ ├── Data anonymization
│ ├── GDPR
│ └── Audit trails
└── Risk Management
├── Bias detection
├── Fairness metrics
├── Transparency reports
└── Response plans
Emerging Technologies & Future Trends
├── Multi-modal AI
│ ├── Vision-Language models
│ ├── Audio processing
│ ├── Video understanding
│ └── Cross-modal retrieval
├── Advanced Architectures
│ ├─MoE
│ ├── Retrieval-based models
│ ├── Neuro-symbolic AI
│ └── World models
└── Production Considerations
Get my Complete LLM and Generative AI Development eBook here: codewithdhanian.gumroad.com/l/gbujqe

English
TEYE_ADEdimeji retweetledi

Big win🥳...Wrapped up my internship at cyblack.. learned everything from threat intelligence to ethical hacking.. but the real gem? The teamwork + challenges that made me grow. Really grateful to @Cyblackorg and @ireteeh for this opportunity ❤️🙏 and huge thanks to my team 💯

English
TEYE_ADEdimeji retweetledi

Every good ML Engineer can relate with the thought
om mishra@BuildWithOm
Machine Learning in theory: math, algorithms, optimization. Machine Learning in practice: cleaning CSV files for 2 weeks straight. 😂 True or false?
English
TEYE_ADEdimeji retweetledi
TEYE_ADEdimeji retweetledi
TEYE_ADEdimeji retweetledi
TEYE_ADEdimeji retweetledi
TEYE_ADEdimeji retweetledi

TEYE_ADEdimeji retweetledi
















