Visualizing Generative AI

Index

Symbols

4 Ps of marketing framework 200

A

A2A (agent-to-agent communication) 210–212

access controls 144

access, evaluation gaps in 289

accountability 255

Acemoglu, D. 273, 274

adaptations, industry-specific 149

adapter tuning

creating training dataset 238–240

estimating costs 241–242

fine-tuning with 89, 90

making inference calls 243–244

mitigating risk with 233

overview 235–236, 238–239

training job 242–243

as type of fine-tuning 89–90

uploading training file 242

ADT 115

agent assistance

automating mundane tasks 124–125

overview 121–124

quality assurance and coaching 125–126

Agent Builder 162

Agentforce 162

agent frameworks

low-code 104

no-code 101, 101–104, 103

overview 101, 102

tool integration 104

agentic systems

addressing limitations of LLMs 160

agentic structures

dynamic planning 204–207

multi-agent collaboration 207–208

ReAct 203–204

reflection 199–201

tool use pattern 201–203

agentic workflow in LangGraph 173–176

agent integration patterns

agent-to-agent communication 210–212

model context protocol 209–210

overview 208–209

architecture of 160

case for

breaking down complexity 159–162

copilots and low-code agents 162–165

choosing AutoGen or LangGraph 176–178

defined 159

for structured data

charting structured data 197–199

fixing logical errors 194–197

SQL agents 191–195

implementation example

extracting and geocoding location 170–172

obtaining final answer 172–173

overview 165–167

setting up AutoGen 167–170

overview 157–159

RAG agents

embeddings 176–182

generation ...