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Etiqueta: fine-tuning
16 artículos con esta etiqueta.
15 jun 2026
ReAct: Synergizing Reasoning and Acting in Language Models
literature
llm-agents
react
reasoning
acting
prompting
puma-core
academic-writing
agents
api
architecture
benchmark
bibliography
chain-of-thought
citation
cot
critical-thinking
effort-estimation
embeddings
few-shot
fine-tuning
issue-triage
jira
keshav
literature-note
llm
moc
multi-agent
permanent-note
project-management
rag
reading-method
reasoning-action
red-teaming
research
retrieval
sdd
smart-pmo
spec-driven-development
story-points
triage
vector-db
15 jun 2026
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
literature
llm-reasoning
chain-of-thought
self-training
thinking
academic-writing
bibliography
citation
cot
fine-tuning
keshav
literature-note
llm
moc
project-management
reading-method
reasoning
research
supervised-learning
unsupervised-learning
zero-shot
15 jun 2026
Natural Language Processing with Transformers: Building Language Applications with Hugging Face
literature
transformers
hugging-face
nlp
fine-tuning
quantization
ollama
open-weights
mistral
gemma
bert
puma-core
book
implementation
python
literature-note
moc
15 jun 2026
🎬 Videos — LLM Agents, Multi-Agent Systems & Agentic AI
videos
llm-agents
multi-agent
agentic-ai
autoresearch
karpathy
puma
academic-writing
anthropic
architecture
autogen
benchmark
context-engineering
crewai
dev-tools
evaluation
fine-tuning
ide
langchain
langgraph
literature-note
llama
llm
local-llm
mas
mcp
meta
metrics
moc
nlp
obsidian
opencode
orchestration
para
precision-recall
project-management
protocol
python
rag
react
reasoning-action
research
retrieval
smart-pmo
testing
vault
workflow
15 jun 2026
AI Agent Specialization. RAG vs Fine-tuning — T3chFest 2026
video
agents
rag
fine-tuning
specialisation
academic-writing
benchmark
embeddings
issue-triage
jira
llm
metrics
moc
precision-recall
project-management
research
retrieval
swe-bench
triage
vector-db
video-note
15 jun 2026
A Visual Tour of Modern LLM Architectures
video
llm
architecture
transformer
theory
attention
chain-of-thought
cot
few-shot
fine-tuning
gpt
llama
meta
metrics
mistral
moc
openai
precision-recall
project-management
video-note
15 jun 2026
🎬 Videos — AI in Project Management, Agile & Scrum Evolution
videos
project-management
agile
scrum
pm-ai
puma
academic-writing
aiops
anthropic
automation
cicd
dev-tools
devops
fine-tuning
gemini
google
ide
knowledge-management
literature-note
llm
mcp
metrics
moc
monitoring
observability
obsidian
para
pkm
precision-recall
protocol
rag
retrieval
second-brain
smart-pmo
software-engineering
sprint
vault
workflow
15 jun 2026
Fine-Tuning LLMs — LoRA, QLoRA, GGUF Quantization, and PUMA Considerations
permanent
fine-tuning
lora
qlora
quantization
gguf
ollama
llm
training
puma-core
research
agents
benchmark
local-models
effort-estimation
issue-triage
architecture
15 jun 2026
RAG, embeddings, and vector databases enable LLMs to query external knowledge without fine-tuning
permanent-note
rag
embeddings
vector-database
llm
puma
architecture
chain-of-thought
cot
critical-thinking
dataset
effort-estimation
few-shot
fine-tuning
issue-triage
jira
llama
local-llm
memory
meta
metrics
moc
nlp
ollama
pipeline
precision-recall
project-management
react
reasoning-action
red-teaming
retrieval
story-points
triage
vector-db
15 jun 2026
📋 PUMA — Product Requirements Document (PRD)
bmad
prd
requirements
puma
sdd
anthropic
api
architecture
artefact
benchmark
bias
carbon-footprint
chain-of-thought
codecarbon
cot
critical-thinking
dataset
dsr
effect-size
effort-estimation
ethics
falsifiability
fine-tuning
github
gpt
hypothesis
ict
issue-triage
jira
literature-review
llama
llm
local-llm
meta
metrics
mistral
moc
multi-agent
non-parametric
ollama
openai
planning
popper
precision-recall
project-management
python
rag
red-teaming
research-methodology
retrieval
slr
smart-pmo
software-engineering
spec-driven-development
sprint
statistics
story-points
sustainability
tawos
triage
wilcoxon
15 jun 2026
Gemini — Conceptual Model Building for PUMA
prompt
gemini
conceptual-model
dsr
puma
academic-writing
artefact
benchmark
clustering
dataset
few-shot
fine-tuning
google
hypothesis
keshav
literature-review
moc
multi-agent
obsidian
planning
project-management
prompt-template
reading-method
research
research-methodology
slr
sprint
vault
15 jun 2026
📖 PUMA Vault — Master Glossary
glossary
reference
definitions
academic-writing
agile
ai-tools
ami
anythingllm
api
artefact
backlog
baseline
bdd
benchmark
bias
bmad
carbon-footprint
chain-of-thought
code-review
codecarbon
contextual-anchoring
cornell-notes
cot
critical-thinking
data-formats
dataset
dev-tools
drca
dsr
effect-size
effort-estimation
egi
elicit
embeddings
ethics
evaluation
few-shot
fine-tuning
finer
github
gpt
gtd
human-in-the-loop
ict
iipr
index
issue-triage
jira
johnny-decimal
json
keshav
knowledge-management
langchain
langgraph
literature-review
llama
llm
lm-studio
local-llm
memory
meta
metrics
mistral
moc
multi-agent
navigation
neural-network
non-parametric
note-taking
obsidian
ollama
one-shot
openai
opencode
openspec
orchestration
para
perplexity
pipeline
precision-recall
prisma
project-management
prompt-engineering
prompting
puma
python
rag
rcoif
reading-method
reasoning
red-teaming
research
research-methodology
research-tools
rest-api
retrieval
sdd
slr
smart-pmo
software-engineering
spec-driven-development
spec-kit
sprint
statistics
story-points
sustainability
tawos
triage
vault
vector-db
wilcoxon
workflow
zero-shot
zettelkasten
15 jun 2026
📖 Glossary Supplement v2 — Extended Technical Terms
glossary
reference
definitions
supplement
academic-writing
accuracy
agentscope
ai-tools
aiops
ami
anthropic
api
architecture
auc
autogen
backlog
baseline
benchmark
bias
chain-of-thought
cot
crewai
data-formats
dataset
devops
drca
effect-size
effort-estimation
egi
embeddings
ethics
evaluation
few-shot
fine-tuning
github
gpt
human-in-the-loop
hypothesis
ict
iipr
issue-triage
jira
json
keshav
langchain
langgraph
literature-review
llama
llm
lm-studio
local-llm
mas
memory
meta
metrics
mistral
mit-ai-lab
multi-agent
nlp
non-parametric
ollama
one-shot
openai
orchestration
perplexity
pipeline
planning
precision-recall
project-management
prompting
python
rag
rcoif
react
reading-method
reasoning
reasoning-action
reinforcement-learning
research
research-methodology
rest-api
retrieval
security
slr
software-engineering
sprint
statistics
story-points
supervised-learning
swarm-intelligence
swe-bench
tawos
tool-use
transformer
tree-of-thoughts
triage
validity
vector-db
wilcoxon
wp316
zero-shot
01 may 2026
RLHF and Constitutional AI — LLM Alignment Training Paradigms
permanent
rlhf
constitutional-ai
rlaif
ppo
reward-model
alignment
ai-safety
fine-tuning
sft
anthropic
openai
puma-core
research
training
ethics
llm
models
hitl
01 mar 2026
Chapter 5 — Discussion & Conclusions
project
chapter
discussion
conclusions
limitations
future-work
academic-writing
accuracy
api
backlog
benchmark
bias
bmad
chain-of-thought
code-review
cot
critical-thinking
dataset
effort-estimation
embeddings
ethics
fairness
fine-tuning
github
gpt
gtd
hypothesis
ict
iipr
issue-triage
jira
llama
llm
local-llm
meta
metrics
moc
multi-agent
navigation
non-parametric
openai
precision-recall
project-management
project-note
prompting
puma
rag
red-teaming
research
research-methodology
retrieval
smart-pmo
statistics
story-points
tawos
triage
validity
vector-db
wilcoxon
01 mar 2026
🌱 Someday / Maybe — PUMA & Beyond
gtd
someday
ideas
future
academic-writing
aiops
api
architecture
backlog
benchmark
bias
chain-of-thought
code-review
cot
crewai
dataset
dev-tools
devops
effort-estimation
ethics
fairness
fine-tuning
github
issue-triage
jira
langgraph
literature-review
llama
llm
local-llm
mas
meta
mistral
multi-agent
obsidian
ollama
opencode
project-management
projects
pydantic
python
rag
research
research-tools
retrieval
sdd
slr
smart-pmo
spec-driven-development
story-points
tawos
triage
vault
zero-shot
zotero