- Intro to LLMs
- quantitizing analytics framework
- assessing error rates
- using OpenAI APIs
- running your open LLM in free Colab
- Intro to LLMs
- quantitizing analytics framework
- assessing error rates
- using OpenAI APIs
- running your open LLM in free Colab
- ⚡ Speed & efficiency: It's multiple times faster and uses significantly less memory than DeBERTav3. You can use larger batch sizes and enabling bf16 (instead of fp16) gave me a ~2x speed boost
- 📉 Performance tradeoff:
- ⚡ Speed & efficiency: It's multiple times faster and uses significantly less memory than DeBERTav3. You can use larger batch sizes and enabling bf16 (instead of fp16) gave me a ~2x speed boost
- 📉 Performance tradeoff:
journals.plos.org/plosone/arti...
journals.plos.org/plosone/arti...
Others fix: LangChain Enterprise ($$$)
ZeroShot fix: Multi-agent orchestration with 14 parallel tools + controlled concurrency. No thrash. No crashes.
🔗 github.com/anix-lynch/ai-agent-job-intelligence-phase-2
#GenAI #Agents
Others fix: LangChain Enterprise ($$$)
ZeroShot fix: Multi-agent orchestration with 14 parallel tools + controlled concurrency. No thrash. No crashes.
🔗 github.com/anix-lynch/ai-agent-job-intelligence-phase-2
#GenAI #Agents
#NLProc #Speech #instructionfollowing #zeroshot #speechtech #speechllm
arxiv.org/abs/2412.01145
#NLProc #Speech #instructionfollowing #zeroshot #speechtech #speechllm
1) Explanation of data analysis, including how they used AI for topic analysis and for image analysis.
1) Explanation of data analysis, including how they used AI for topic analysis and for image analysis.
#DiscoverAI
#AgenticRAG
#ZeroShot #AgenticAI #Agentic
#ArXiv #ArXivCS Paper Guides
youtube.com/post/Ugkx2bj...
#DiscoverAI
#AgenticRAG
#ZeroShot #AgenticAI #Agentic
#ArXiv #ArXivCS Paper Guides
youtube.com/post/Ugkx2bj...
Others fix: LangSmith evals ($$$), Phoenix (paid)
ZeroShot fix: Regression checks around FastAPI serving. Ensemble ML (XGBoost, LightGBM, CatBoost) with time-aware validation.
🔗 github.com/anix-lynch/churn-ml-pipeline
#MLOps #GenAI
Others fix: LangSmith evals ($$$), Phoenix (paid)
ZeroShot fix: Regression checks around FastAPI serving. Ensemble ML (XGBoost, LightGBM, CatBoost) with time-aware validation.
🔗 github.com/anix-lynch/churn-ml-pipeline
#MLOps #GenAI
Others fix: LangChain Enterprise ($$$)
ZeroShot fix: Multi-agent orchestration with 14 parallel tools + controlled concurrency. No thrash. No crashes.
🔗 github.com/anix-lynch/ai-agent-job-intelligence-phase-2
#GenAI #Agents
Others fix: LangChain Enterprise ($$$)
ZeroShot fix: Multi-agent orchestration with 14 parallel tools + controlled concurrency. No thrash. No crashes.
🔗 github.com/anix-lynch/ai-agent-job-intelligence-phase-2
#GenAI #Agents
Others fix: LangChain Enterprise ($$$)
ZeroShot fix: Multi-agent orchestration with 14 parallel tools + controlled concurrency. No thrash. No crashes.
🔗 github.com/anix-lynch/ai-agent-job-intelligence-phase-2
#GenAI #Agents
Others fix: LangChain Enterprise ($$$)
ZeroShot fix: Multi-agent orchestration with 14 parallel tools + controlled concurrency. No thrash. No crashes.
🔗 github.com/anix-lynch/ai-agent-job-intelligence-phase-2
#GenAI #Agents
Ruchao Fan, Bo Ren, Yuxuan Hu, Rui Zhao, Shujie Liu, and Jinyu Li (2024).
#speech #LLM #speechlmm #zeroshot #instructionfollowing
Find out the best positioning for speech and text—and the novel adapter that aligns speech and text modalities!
arxiv.org/abs/2412.01145
Ruchao Fan, Bo Ren, Yuxuan Hu, Rui Zhao, Shujie Liu, and Jinyu Li (2024).
#speech #LLM #speechlmm #zeroshot #instructionfollowing
🔥 O3 led the zero-shot leaderboard, beating past top models!
#AI #MachineLearning #ZeroShot #GameAI #Benchmark
🔥 O3 led the zero-shot leaderboard, beating past top models!
#AI #MachineLearning #ZeroShot #GameAI #Benchmark
🔧 Point at a #GitHub issue, walk away, and return to verified, production-ready PRs
🛡️ Multiple isolated agents check each other's work - validators didn't write the code, so they can't lie about tests
🧵 👇
🔧 Point at a #GitHub issue, walk away, and return to verified, production-ready PRs
🛡️ Multiple isolated agents check each other's work - validators didn't write the code, so they can't lie about tests
🧵 👇