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In This Edition:
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Customizing
AI brains
for specific
tasks, not
one-size-fits-all.
Learn how
this
innovative
approach
could
transform
machine
intelligence! (
Link)
-
Want to
explore how
AI is
transforming
venture
capital and
drug
discovery? (Link)
-
Amazon is
developing a
ChatGPT
competitor
named Metis. (Link)
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Perplexity
AI, which
has
developed an
AI-powered
search and
answer
engine
utilizing
natural
language
processing,
is seeking
to raise $10
million to $20
million from
SoftBank at
a valuation
of $3
billion. (Link)
-
French
AI-as-a-service
startup Dust
has raised $16M
in a Series
A funding
round led by
Sequoia. (Link)
-
Illumex, a
GenAI
data-readiness
platform for
LLMs, has
secured $13M
in funding
in a round
led by
Cardumen
Capital,
Amdocs
Ventures,
and Samsung
Ventures. (Link)
-
Hebbia
secures
nearly $100M
in Series B
funding for
its
AI-powered
document
search, led
by
Andreessen
Horowitz. (Link)
-
Ario, a
Palo Alto
startup
specializing
in
AI-powered
tools to
help parents
manage their
children's
activities
and
schedules,
has raised $16
million in a
seed round
led by
Floodgate,
with
additional
investments
from Wing
Venture
Capital,
Bain Capital
Ventures,
and Moxxie. (Link)
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RECOMMENDATIONS
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Boost your
entrepreneurial
skills and AI
knowledge with
these selected
newsletters.
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They're great for
anyone running a
startup,
interested in
artificial
intelligence, or
wanting to keep up
with the latest AI
tools and
trends.
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Subscribe to
these
publications
FREE, and get access
to loads of useful
insights and
information.
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Hello
iinTro
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The
best
B2B
&
marketing
freelance
writing
opps,
delivered.
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LLMs
Research
|
Daily
newsletter
categorizing
&
easily
explaining
LLMs
research
papers
as
they
published.
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CXOTalk
Updates
|
Executive
Conversations
on
Leadership,
Enterprise
AI,
and
the
Digital
Economy
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️
POLL TIME: SHARE
YOUR
PERSPECTIVE!
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Do you believe AI
can be a
game-changer and
great equalizer in
the classroom,
despite no
technology being a
silver bullet for
education?
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AI RESEARCH
|
Foundation
Agents as the
Paradigm Shift
for
Decision-Making
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Source
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The paper titled
"Foundation Agents
as the Paradigm
Shift for Decision
Making" proposes
the concept of
foundation agents,
which leverage
large-scale
interactive data,
self-supervised
pretraining, and
alignment with
large language
models (LLMs) to
improve
decision-making
processes.
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The authors argue
that these agents
will enhance
sample efficiency,
generalization,
and reasoning
capabilities
across diverse
tasks.
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The paper
outlines a roadmap
for developing
foundation agents,
discussing their
fundamental
characteristics,
potential research
questions, and the
role of LLMs in
memory, planning,
and action modules
for robust
decision-making.
|
Key
Highlights
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The research
"Foundation
Agents as the
Paradigm Shift
for Decision
Making" presents
several key
insights:
|
-
Foundation
Agents
Concept: These
agents
utilize
large-scale
interactive
data and
self-supervised
pretraining,
combined
with
alignment
with large
language
models
(LLMs), to
enhance
decision-making
capabilities.
-
Enhanced
Capabilities: The
agents aim
to improve
sample
efficiency,
generalization,
and
reasoning
across
diverse
tasks.
-
Development
Roadmap: A
detailed
roadmap is
provided for
developing
these
agents,
highlighting
their
essential
characteristics
and
potential
research
areas.
-
⚙️
Role of
LLMs: LLMs are
crucial in
providing
memory,
planning,
and action
modules for
robust
decision-making.
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Why This is
Important:
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The development of
foundation agents
marks a significant
advancement in
artificial
intelligence,
promising to
revolutionize
decision-making
processes.
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By leveraging
large-scale
interactive data and
self-supervised
pretraining, these
agents can achieve
unparalleled sample
efficiency,
generalization, and
reasoning across
various tasks.
|
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The integration of
large language
models (LLMs) in
memory, planning,
and action modules
ensures robust and
adaptable
decision-making
capabilities.
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This paradigm shift
could lead to more
intelligent,
efficient, and
versatile AI
systems, impacting
industries ranging
from healthcare to
finance and beyond.
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Read More
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AI BREAKTHROUGH
|
AI Programmers:
Revolutionizing
or Replacing the
Tech
Industry?
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Jensen Huang, CEO of NVIDIA, recently
proposed a
controversial idea
that the future of
computing should
eliminate the need
for humans to
learn programming,
suggesting that
everyone should be
able to program
using human-like
languages.
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The discussion
delves into the
broader
implications of
these advancements
on the workforce,
predicting a
future where
companies might
operate with
significantly
fewer employees
due to AI
efficiencies.
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Watch the
Podcast
here
|
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AI VIDEO
GENERATORS
|
10 Text-to-Video
AI Generator
Tools
|
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Zebracat:
AI
transforms
text to pro
videos,
ideal for
marketers
and
creators.
-
Mango
AI:
AI generates
engaging
videos from
text,
perfect for
quick,
quality
production.
-
Viggle:
Animate
characters
in videos
using text
prompts with
3D physics
understanding.
-
Crayo:
Automate
video
creation
with
captions,
effects, and
music for
social
media.
-
Atlabs:
Create pro
videos
quickly with
AI Script
Writer and
Magic
Overlays.
-
Vidiofy
AI:
Convert text
into
vertical
videos with
templates
and AI voice
narration.
-
️ Fliz:
Generate
product
videos from
URLs with
voiceovers
and photos
for
e-commerce.
-
Moonvalley:
Create
cinematic
videos from
text with
motion-guided
control and
styles.
-
Adori
Labs:
AI converts
blogs into
SEO-optimized
videos,
enhancing
content
marketing.
-
Taleblocks:
Create
branded
videos with
AI
voiceovers
and HD
export for
marketing.
-
️ Neural
Frames:
Turn text
into motion
content with
various AI
neural
network
models.
-
️ DeepBrain
AI:
Create
videos with
Text-to-Speech,
templates,
and diverse
AI
avatars.
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